This function performs clustering analysis using various methods, ordered from simple to detailed: k-means (simplest), hierarchical (intermediate), and UMAP+DBSCAN (most detailed).
Usage
cluster_embeddings(
data_matrix,
method = "kmeans",
n_clusters = 0,
umap_neighbors = 15,
umap_min_dist = 0.1,
umap_n_components = 10,
umap_metric = "cosine",
dbscan_eps = 0,
dbscan_min_samples = NULL,
reduce_outliers = TRUE,
outlier_strategy = "centroid",
outlier_threshold = 0,
seed = 123,
verbose = TRUE
)Arguments
- data_matrix
A numeric matrix where rows represent documents and columns represent features.
- method
The clustering method. Options: "kmeans", "hierarchical", "umap_dbscan".
- n_clusters
The number of clusters (for k-means and hierarchical). If 0, optimal number is determined automatically.
- umap_neighbors
The number of neighbors for UMAP (default: 15).
- umap_min_dist
The minimum distance for UMAP (default: 0.1).
- umap_n_components
The number of UMAP components (default: 10).
- umap_metric
The metric for UMAP (default: "cosine").
- dbscan_eps
The eps parameter for DBSCAN. If 0, optimal value is determined automatically.
- dbscan_min_samples
The minimum samples for DBSCAN. Default NULL sets
umap_n_components + 1(dimensions-plus-one rule of thumb).- reduce_outliers
Logical, if TRUE, reassigns noise points (cluster 0) to nearest cluster (default: TRUE). Set FALSE to keep density-based noise labels.
- outlier_strategy
Strategy for outlier reduction: "centroid" (default, Euclidean nearest-centroid in UMAP space; package-specific heuristic) or "embeddings" (cosine similarity to cluster mean in original embedding space, matching the BERTopic "embeddings" strategy).
- outlier_threshold
Minimum similarity for reassigning a noise point (default: 0, reassign all). For "embeddings" this is cosine similarity; for "centroid" it applies to 1 / (1 + euclidean distance). Points below the threshold keep cluster label 0.
- seed
Random seed for reproducibility (default: 123).
- verbose
Logical, if TRUE, prints progress messages.
Value
A list containing cluster assignments, method used, and quality metrics.
For method = "umap_dbscan" with reduce_outliers = TRUE, the list
also reports how noise points were reassigned: outlier_strategy
("embeddings" or "centroid"), outlier_metric ("cosine" or "euclidean"),
outlier_space ("original embedding space" or "UMAP space"), and
outliers_reassigned (count).
Examples
if (interactive()) {
mydata <- TextAnalysisR::SpecialEduTech
united_tbl <- TextAnalysisR::unite_cols(
mydata,
listed_vars = c("title", "keyword", "abstract")
)
tokens <- TextAnalysisR::prep_texts(united_tbl, text_field = "united_texts")
dfm_object <- quanteda::dfm(tokens)
data_matrix <- as.matrix(dfm_object)
kmeans_result <- TextAnalysisR::cluster_embeddings(
data_matrix,
method = "kmeans",
n_clusters = 5
)
print(kmeans_result)
hierarchical_result <- TextAnalysisR::cluster_embeddings(
data_matrix,
method = "hierarchical",
n_clusters = 5
)
print(hierarchical_result)
umap_dbscan_result <- TextAnalysisR::cluster_embeddings(
data_matrix,
method = "umap_dbscan",
umap_neighbors = 15,
umap_min_dist = 0.1
)
print(umap_dbscan_result)
}
#> Starting clustering analysis with method: kmeans
#> Performing k-means clustering...
#> Calculating quality metrics...
#> Clustering analysis completed in 56.57 seconds
#> Found 5 clusters
#> $clusters
#> text1 text2 text3 text4 text5 text6 text7 text8 text9 text10
#> 3 3 3 3 3 3 3 3 3 3
#> text11 text12 text13 text14 text15 text16 text17 text18 text19 text20
#> 3 3 3 3 3 3 3 3 3 3
#> text21 text22 text23 text24 text25 text26 text27 text28 text29 text30
#> 3 3 3 3 3 3 3 3 3 3
#> text31 text32 text33 text34 text35 text36 text37 text38 text39 text40
#> 3 3 3 3 3 3 3 3 3 3
#> text41 text42 text43 text44 text45 text46 text47 text48 text49 text50
#> 3 3 3 3 3 3 3 3 3 3
#> text51 text52 text53 text54 text55 text56 text57 text58 text59 text60
#> 3 3 3 3 3 3 3 3 3 3
#> text61 text62 text63 text64 text65 text66 text67 text68 text69 text70
#> 3 3 3 3 3 3 3 3 3 3
#> text71 text72 text73 text74 text75 text76 text77 text78 text79 text80
#> 3 3 3 3 3 3 3 3 3 3
#> text81 text82 text83 text84 text85 text86 text87 text88 text89 text90
#> 3 3 3 3 3 3 3 3 3 3
#> text91 text92 text93 text94 text95 text96 text97 text98 text99 text100
#> 3 3 3 3 3 3 3 3 3 3
#> text101 text102 text103 text104 text105 text106 text107 text108 text109 text110
#> 3 3 3 3 3 3 3 3 3 3
#> text111 text112 text113 text114 text115 text116 text117 text118 text119 text120
#> 3 3 3 3 3 3 3 3 3 3
#> text121 text122 text123 text124 text125 text126 text127 text128 text129 text130
#> 3 3 3 3 3 3 3 3 3 3
#> text131 text132 text133 text134 text135 text136 text137 text138 text139 text140
#> 3 3 3 3 3 3 3 3 3 3
#> text141 text142 text143 text144 text145 text146 text147 text148 text149 text150
#> 3 3 3 3 3 3 3 3 3 3
#> text151 text152 text153 text154 text155 text156 text157 text158 text159 text160
#> 3 3 3 3 3 3 3 4 3 3
#> text161 text162 text163 text164 text165 text166 text167 text168 text169 text170
#> 3 3 3 3 3 3 3 3 3 3
#> text171 text172 text173 text174 text175 text176 text177 text178 text179 text180
#> 3 3 3 3 3 3 3 3 3 3
#> text181 text182 text183 text184 text185 text186 text187 text188 text189 text190
#> 3 3 3 3 3 3 3 3 3 3
#> text191 text192 text193 text194 text195 text196 text197 text198 text199 text200
#> 3 3 3 3 3 3 3 3 3 3
#> text201 text202 text203 text204 text205 text206 text207 text208 text209 text210
#> 3 3 3 3 3 3 3 3 3 3
#> text211 text212 text213 text214 text215 text216 text217 text218 text219 text220
#> 3 3 3 3 3 3 3 3 3 3
#> text221 text222 text223 text224 text225 text226 text227 text228 text229 text230
#> 3 3 3 3 3 3 3 3 2 3
#> text231 text232 text233 text234 text235 text236 text237 text238 text239 text240
#> 3 3 3 3 3 3 3 3 3 3
#> text241 text242 text243 text244 text245 text246 text247 text248 text249 text250
#> 3 3 3 3 3 3 3 3 3 3
#> text251 text252 text253 text254 text255 text256 text257 text258 text259 text260
#> 3 3 3 3 3 3 3 3 3 3
#> text261 text262 text263 text264 text265 text266 text267 text268 text269 text270
#> 3 3 3 3 3 3 3 3 3 3
#> text271 text272 text273 text274 text275 text276 text277 text278 text279 text280
#> 3 3 3 3 3 3 3 3 3 3
#> text281 text282 text283 text284 text285 text286 text287 text288 text289 text290
#> 3 3 3 3 3 3 3 3 3 3
#> text291 text292 text293 text294 text295 text296 text297 text298 text299 text300
#> 3 3 3 3 3 3 3 3 3 3
#> text301 text302 text303 text304 text305 text306 text307 text308 text309 text310
#> 3 3 3 3 3 3 3 3 3 3
#> text311 text312 text313 text314 text315 text316 text317 text318 text319 text320
#> 3 3 3 3 3 3 3 3 3 3
#> text321 text322 text323 text324 text325 text326 text327 text328 text329 text330
#> 3 3 3 3 3 3 3 3 3 3
#> text331 text332 text333 text334 text335 text336 text337 text338 text339 text340
#> 3 3 3 3 3 3 3 3 3 3
#> text341 text342 text343 text344 text345 text346 text347 text348 text349 text350
#> 3 3 3 2 2 2 3 3 3 3
#> text351 text352 text353 text354 text355 text356 text357 text358 text359 text360
#> 3 3 3 3 3 3 3 3 3 3
#> text361 text362 text363 text364 text365 text366 text367 text368 text369 text370
#> 3 3 3 3 3 3 3 3 3 3
#> text371 text372 text373 text374 text375 text376 text377 text378 text379 text380
#> 3 3 3 3 3 3 3 3 3 3
#> text381 text382 text383 text384 text385 text386 text387 text388 text389 text390
#> 3 3 3 3 3 3 3 3 3 3
#> text391 text392 text393 text394 text395 text396 text397 text398 text399 text400
#> 3 3 3 3 3 3 3 3 3 3
#> text401 text402 text403 text404 text405 text406 text407 text408 text409 text410
#> 3 3 3 3 3 3 3 3 3 3
#> text411 text412 text413 text414 text415 text416 text417 text418 text419 text420
#> 3 3 3 3 3 3 3 3 3 3
#> text421 text422 text423 text424 text425 text426 text427 text428 text429 text430
#> 3 3 3 3 3 3 3 3 3 3
#> text431 text432 text433 text434 text435 text436 text437 text438 text439 text440
#> 3 3 3 3 5 3 1 3 3 3
#> text441 text442 text443 text444 text445 text446 text447 text448 text449 text450
#> 3 3 3 3 3 3 3 3 3 3
#> text451 text452 text453 text454 text455 text456 text457 text458 text459 text460
#> 3 3 3 3 3 3 3 3 3 3
#> text461 text462 text463 text464 text465 text466 text467 text468 text469 text470
#> 3 3 3 3 3 3 3 3 3 3
#> text471 text472 text473 text474 text475 text476 text477 text478 text479 text480
#> 3 3 3 3 3 3 3 3 3 3
#> text481 text482 text483 text484 text485 text486 text487 text488 text489 text490
#> 3 3 3 3 3 3 3 3 3 3
#>
#> $method
#> [1] "kmeans"
#>
#> $n_clusters
#> [1] 5
#>
#> $kmeans_result
#> K-means clustering with 5 clusters of sizes 1, 4, 483, 1, 1
#>
#> Cluster means:
#> dyscalculia and the minicalculator alp
#> 1 -0.146963850 2.87347235 0.43963418 -0.0451753951 -0.0451753951
#> program arithmetic remedial teaching education of
#> 1 -0.329238831 -0.203915749 -0.127973314 -0.714333077 -0.3951049 1.57964260
#> learning disabled children calculators study fractions
#> 1 -0.229155200 -0.353873997 -0.42020624 -0.199895441 -0.114068511 -0.204656124
#> difficulties calculating machines aids devices notes
#> 1 -0.247259683 -0.111226772 -0.078406585 -0.240496618 5.4359292 -0.09062922
#> that for elementary mathematics has worked
#> 1 -0.20276677 3.6174138 0.750078714 -0.815616302 -0.380998472 -0.150601761
#> well in clinical setting with youngsters
#> 1 2.248666552 0.90772450 -0.120262948 -0.24228801 -0.077608405 -0.0451753951
#> perceptual or memory deficits who can
#> 1 -0.078406585 0.50485982 -0.102005110 -0.130556377 0.88798140 -0.44162003
#> nonetheless demonstrate an understanding basic math
#> 1 -0.078406585 -0.12869980 -0.773850807 -0.3335278665 -0.282183410 0.016204881
#> concepts although approach appears to have
#> 1 -0.370999991 -0.302230584 -0.1997088890 -0.10589157 1.06573958 0.88046211
#> tremendous potential students throughout all
#> 1 -0.0451753951 -0.260302703 2.635798778 -0.128699798 -0.526965834
#> realms caution is advised when
#> 1 -0.0451753951 -0.0639530817 -0.70074623 -0.0451753951 -0.408644312
#> choosing time circumstances its instigation
#> 1 -0.0451753951 -0.321913744 -0.0451753951 -0.21932785 -0.0451753951
#> also presented are advantages found was
#> 1 1.383084128 -0.289152522 -0.74968413 -0.10589157 -0.375181061 2.640615844
#> compared traditional subtracting effects computer
#> 1 -0.3703593463 -0.220327877 -0.0639530817 -0.487205528 -0.602596872
#> assisted instruction mastery multiplication facts on
#> 1 -0.39011497 -0.77506692 -0.105453637 -0.257554008 -0.215366735 -0.957530626
#> school aged differing locus control
#> 1 -0.739447958 -0.163610494 -0.0639530817 -0.0633077263 -0.2585593020
#> vs achievement 4th 6th graders internal
#> 1 -0.173167268 -0.412223338 -0.095684841 -0.106978905 -0.16731604 -0.104793459
#> external disabilities special this investigated relationship
#> 1 -0.113549679 -1.25662799 0.418350474 -1.019263671 -0.229181517 -0.221995349
#> between taught through instructional methods
#> 1 -0.483985643 -0.295238506 -0.424743330 -0.472414602 0.945640616
#> programs drills practice materials material development
#> 1 -0.306833982 -0.114922015 -0.3826850 -0.286062379 -0.14271130 -0.385585119
#> microcomputers effectiveness apple ii results
#> 1 -0.161631018 -0.477772599 -0.078406585 -0.10589157 1.72543838
#> investigation indicate increased skills twenty one
#> 1 -0.189759020 -0.27014292 -0.266988387 -0.605422487 -0.184721042 -0.404489539
#> references listed arc ed curriculum
#> 1 -0.0451753951 -0.078406585 -0.0639530817 -0.085943069 -0.3227533841
#> applicability severely handicapped pupils games
#> 1 -0.0639530817 -0.0451753951 -0.143890748 -0.083022235 1.97632700
#> online systems severe videogames uses video
#> 1 -0.218199836 -0.172309013 -0.189484010 -0.0451753951 -0.347899341 0.43433714
#> game formats teach language arts content
#> 1 -0.19091474 -0.142389674 -0.412083822 -0.23042236 -0.12378954 -0.33084075
#> four motivational features feedback improvement high
#> 1 -0.353552736 -0.101430957 -0.166385637 -0.202149891 -0.23711401 0.75795393
#> response rates unlimited ceiling performance along
#> 1 -0.207779409 -0.14271130 -0.0451753951 -0.0451753951 -0.468251890 -0.13664857
#> adapted could make system applicable use
#> 1 -0.178804304 -0.229935438 -0.206073648 -0.242771498 -0.0451753951 3.90306402
#> learners application educational software electronic technology
#> 1 -0.187623761 -0.23541434 -0.53681404 0.623814091 -0.144190209 3.914503623
#> innovations exceptional article explores arcade
#> 1 -0.101430957 -0.112334858 -0.4149387131 -0.123393572 -0.0606587916
#> microcomputer variables ore discussed as
#> 1 -0.119108529 -0.209502677 -0.0451753951 -0.454962045 0.80992605
#> being potentially important appeal several established
#> 1 -0.226709152 -0.136648575 -0.31606812 -0.0606587916 -0.260126165 -0.114922015
#> practices examined relation guidelines based proposed
#> 1 -0.2607401864 -0.3968243759 -0.276139187 -0.1612875 3.024445244 -0.10597400
#> term offered describe such theory authors
#> 1 -0.09524215 -0.128699798 -0.226709152 -0.36850034 -0.179006662 -0.209123990
#> experience field testing six effect hand
#> 1 -0.191155459 -0.245573153 2.711198903 -0.18745508 -0.299187262 -0.121227602
#> held calculator speed accuracy motivation
#> 1 -0.075638549 -0.1933083268 -0.083857071 -0.2551804758 -0.191461043
#> secondary educable mentally retarded grades
#> 1 -0.383927101 -0.124635662 -0.143890748 -0.128699798 -0.244717027
#> purpose determine using increase working algorithmic
#> 1 -0.4170566402 -0.25158629 1.163530834 -0.25208308 -0.14271130 -0.0639530817
#> problems areas addition subtraction division
#> 1 -0.5016867546 -0.279526969 -0.328026904 -0.216068231 -0.176991732
#> rationale might be device free student
#> 1 -0.078406585 -0.13139912 3.39113308 -0.148017205 -0.123393572 -0.5210959
#> from laborious tasks necessary master algorithms
#> 1 3.56568733 -0.0451753951 -0.22770068 -0.200642410 -0.078406585 -0.09257825
#> so devoted algorithm concept population sample
#> 1 -0.14627910 -0.0639530817 -0.12128412 -0.185240074 -0.20880952 -0.17565678
#> comprised experimental wood county west
#> 1 -0.101430957 -0.273554709 -0.0451753951 -0.0451753951 -0.0451753951
#> virginia intact class units were
#> 1 -0.0451753951 -0.0451753951 -0.230755195 -0.145107494 2.52341758
#> randomly selected eight available junior schools
#> 1 5.437328463 2.92569571 -0.18172619 3.72219969 -0.134761671 12.5028837
#> ranged iq came middle low socio
#> 1 6.59470090 -0.109040831 -0.0451753951 0.998703495 -0.26158528 -0.078406585
#> economic backgrounds multiple series design
#> 1 -0.078406585 -0.0639530817 1.285924641 -0.131399124 -0.555158161
#> encompassing two pretests treatment post
#> 1 -0.0639530817 -0.481741398 -0.217384926 -0.229874995 -0.221900248
#> tests implemented during twelve weeks consisted
#> 1 -0.305438941 -0.214336927 -0.32898265 -0.120262948 -0.215445367 -0.145107494
#> systematic group same analysis covariance used
#> 1 -0.221698047 -0.329233826 -0.178804304 0.7539011 -0.085598831 5.01212408
#> interpreting test dependent acquisition retention
#> 1 -0.0451753951 -0.267594600 -0.190483444 -0.269497777 -0.081502598
#> further total grade level sex separate
#> 1 -0.241848596 4.137499149 -0.40061019 -0.35956192 -0.0639530817 -0.090629222
#> covariates prior administration first second significance
#> 1 -0.0639530817 -0.19048344 -0.124333906 -0.23711401 -0.19427891 -0.120262948
#> indicated following differences performed significantly better
#> 1 -0.36695320 -0.199265147 -0.24245686 -0.193049696 -0.283970237 4.05853200
#> positive reaction toward positively affect it
#> 1 -0.286173892 -0.0681932723 -0.161753837 -0.111226772 -0.113372599 -0.43055116
#> males females review some current expectations
#> 1 -0.123393572 -0.114922015 -0.292641811 -0.277337488 -0.287813297 -0.072665035
#> mildly behavior analytic mathematical literature mild
#> 1 -0.123789544 -0.180997802 -0.075429564 -0.48479727 -0.303477799 -0.251504703
#> mental retardation intellectual disorder discusses academic
#> 1 -0.225218461 -0.113549679 -0.333231622 -0.259730265 -0.206073648 1.90965771
#> labeled research both reviewed area whether
#> 1 -0.0451753951 0.08245501 -0.498173428 -0.212227615 -0.232607439 -0.283337021
#> teachers skill deficient argued data
#> 1 0.380444789 -0.2589764831 -0.073897151 -0.0639530817 1.09566209
#> behaviorally oriented provides directly relevant practical
#> 1 -0.0639530817 -0.123393572 -0.246513341 -0.12869980 -0.101430957 -0.150601761
#> programming information classroom specific 9th present
#> 1 -0.096176292 -0.31096280 -0.240596520 -0.276802097 -0.0639530817 -0.265650652
#> discover not there significant difference groups
#> 1 -0.0451753951 -0.46761292 -0.332588365 -0.328666033 -0.222419507 -0.264079112
#> ninth which given while controlling pretest
#> 1 -0.072665035 -0.50264750 -0.276584088 -0.344007861 -0.078406585 -0.206513506
#> full scale race involved subjects mainstreamed
#> 1 -0.085598831 -0.204471626 -0.081502598 -0.206938432 -0.21536674 -0.073897151
#> into regular fundamental attended resource tutorial
#> 1 -0.337033503 -0.157461160 -0.10589157 -0.111226772 -0.155806637 -0.123393572
#> assistance received minutes once week no
#> 1 -0.078406585 -0.200965312 -0.131399124 -0.09062922 -0.217779908 -0.30782825
#> computation subtest california administered commencement
#> 1 -0.231632726 -0.06395308 -0.0639530817 -0.167077653 -0.0451753951
#> order initial posttest at completion revealed
#> 1 -0.231127281 -0.137349965 -0.212227615 0.929530448 -0.110779067 -0.255493463
#> conclusions receiving exhibited gains only obtained
#> 1 -0.171323497 -0.132938514 -0.090629222 -0.207428868 -0.272448837 -0.13664857
#> independent membership predictors upon predictor
#> 1 -0.23994701 -0.0451753951 -0.0639530817 -0.17271818 -0.111226772
#> independently related influence workbook by normal
#> 1 -0.177523239 -0.32313837 -0.139009286 -0.0451753951 2.82447032 -0.102665891
#> nondisabled textbooks drill provided highly structured
#> 1 -0.096176292 -0.14135449 -0.13534556 -0.384424969 -0.121227602 -0.084236632
#> but differed dimensions immediacy individually tailored
#> 1 -0.34631518 -0.090629222 -0.101430957 -0.0451753951 -0.095684841 -0.111226772
#> mode presentation combination single subject methodological
#> 1 -0.10143096 -0.137349965 -0.14271130 -0.373618717 -0.250556068 -0.104793459
#> employed any idiosyncratic overall few they
#> 1 -0.229874995 -0.12339357 -0.0639530817 -0.271917463 -0.177523239 -0.414604963
#> did differ respect occurred individual suggest
#> 1 -0.24834980 -0.113372599 -0.101430957 -0.128699798 -0.2339901 -0.276139187
#> varied according type surprisingly similar across
#> 1 -0.16491831 -0.16361049 -0.239947011 -0.090629222 -0.172718176 -0.494174535
#> measures instruct evaluation media selection social
#> 1 -0.25652406 -0.0639530817 -0.30450610 -0.124872384 -0.12924387 -0.25009658
#> studies analyzes science miscellaneous reasoning
#> 1 -0.35723419 -0.078406585 1.7461364389 -0.0451753951 -0.129150840
#> problem solving evaluated terms general aspects
#> 1 -0.418291788 -0.439840733 -0.217747686 -0.26831476 -0.266356965 -0.16491831
#> including reading interest methodology curricular considerations
#> 1 5.00253490 5.27159973 -0.10589157 -0.183538514 -0.11492201 -0.104793459
#> interaction activities 3rd 5th ability if
#> 1 -0.19427891 4.99381531 -0.095684841 -0.09617629 -0.341483420 -0.17752324
#> via would improve average per day
#> 1 -0.248689256 -0.19941857 -0.32719324 -0.15593557 -0.188809250 -0.1612875
#> practiced generated worksheets supplemental tested intervals
#> 1 -0.090629222 -0.10589157 -0.082676096 -0.131399124 -0.172718176 -0.096943722
#> criterion referenced designed measure computational
#> 1 -0.121284122 -0.101430957 -0.29688312 -0.179006662 -0.137689986
#> nonparametric statistical ranks because size small
#> 1 -0.0451753951 3.98854364 -0.0451753951 -0.20030926 -0.153252398 -0.189759020
#> nonnormal existed scores comparison within statistically
#> 1 -0.0451753951 -0.163610494 -0.29452235 -0.196668374 -0.26412155 -0.162063183
#> conducted resulted substantial increases identified
#> 1 2.537026182 -0.090629222 -0.096176292 -0.128699798 -0.260444192
#> psychoeducational assessment having noticeable strength
#> 1 -0.0451753951 -0.2408061155 -0.173114830 -0.0451753951 -0.0639530817
#> visual modality achieved rote artificial
#> 1 8.01403419 -0.078406585 -0.144190209 -0.0451753951 -0.0606587916
#> intelligence duplication logic child computers
#> 1 -0.13299418 -0.0451753951 -0.073897151 -0.29011245 1.851654e+00
#> humans disorders often unable follow
#> 1 -0.277066943 1.169978325 -0.261360485 -0.0451753951 -0.177523239
#> logical sequences useful teacher break down
#> 1 -0.085943069 -0.0683887432 -0.16491831 -0.3298959 -0.0451753951 -0.09257825
#> component parts mimic computer's applied
#> 1 -0.149971889 -0.078406585 -0.0639530817 -0.0639530817 -0.187455082
#> verbal pattern letter recognition geometric analogies
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#> process alert intuitive steps may omit
#> 1 -0.2418486 -0.0451753951 -0.0639530817 -0.168148045 -0.31210299 -0.0451753951
#> write simple foster thinking provide
#> 1 -0.0639530817 -0.13139912 -0.101430957 -0.137749275 -3.576919e-01
#> confidence their guide resources sources reference
#> 1 -0.120262948 1.56422283 -0.090629222 -0.14542922 -0.0606587916 -0.069805785
#> reviews reports settings readiness home career
#> 1 -0.172718176 -0.136648575 -0.231632726 -0.085598831 -0.105453637 -0.111226772
#> vocational programing literacy adaptive communication professional
#> 1 -0.085598831 -0.078406585 3.06682005 -0.155630465 -0.216813030 -0.15828256
#> authoring publications courseware directory companies
#> 1 -0.0520047732 -0.0451753951 -0.101430957 -0.0451753951 -0.0451753951
#> appended longitudinal kindergartners 12th years
#> 1 -0.0451753951 -0.085943069 -0.0451753951 -0.0639530817 -0.257017944
#> assess improving enrolled kindergarten twelfth training
#> 1 -0.201738495 -0.257659535 -0.136648575 -0.0639530817 -0.078406585 -0.23239553
#> after had completed sections itbs
#> 1 -0.32971123 4.70934632 -0.271917463 -0.0639530817 -0.0451753951
#> wrat piat five classrooms plus
#> 1 -0.0451753951 -0.0451753951 -0.28733629 -0.282418798 -0.078406585
#> minimum half hour approximately next
#> 1 -0.095684841 -0.113549679 -0.073897151 -0.101430957 -0.101430957
#> year develop each student's compensate those
#> 1 -0.198946172 -0.217384926 -0.33675578 -0.173187106 -0.078406585 -0.238341849
#> capabilities absent diminished due his
#> 1 -0.0451753951 -0.0451753951 -0.0451753951 -0.18938705 -0.128699798
#> handicapping condition compensatory tutoring needed tutorials
#> 1 -0.0451753951 -0.232561098 -0.0451753951 -0.1462317 -0.224295722 -0.10589157
#> other chosen consultation non structure composition
#> 1 4.03529525 -0.12869980 -0.0451753951 -0.23725213 -0.128699798 -0.0639530817
#> monitored posttesting concluded conceived way
#> 1 -0.120262948 -0.0451753951 -0.120262948 -0.0451753951 -0.234547208
#> factorial anova factor drawn trained levels
#> 1 -0.085598831 -0.11337260 -0.073897151 -0.0639530817 7.30310716 -0.30238188
#> capable supervision most remained interested
#> 1 -0.0451753951 -0.078406585 -0.32599899 -0.090629222 -0.090629222
#> enthusiastic about even novelty worn off
#> 1 -0.0451753951 4.9461969 -0.14375669 -0.0451753951 -0.0451753951 -0.096943722
#> parents very supportive generally interactions favoring
#> 1 -0.116128958 -0.146061782 -0.078406585 -0.150601761 -0.104793459 -0.078406585
#> made more than senior least attitude
#> 1 -0.229874995 -0.46048977 -0.339973671 -0.0451753951 -0.193049696 -0.077375428
#> towards commitment factors exposed detrimental fact
#> 1 -0.10288492 -0.0451753951 -0.166445148 -0.090629222 -0.0639530817 -0.1440513
#> offer great promise future many elements
#> 1 -0.177523239 -0.111226772 -0.128699798 -0.426589696 -0.30459438 -0.12908864
#> aiding repetition immediate effective means
#> 1 -0.0639530817 -0.0451753951 -0.106978905 -0.402572802 -0.21774769
#> increasing different forms knowledge approached
#> 1 -0.206967206 -0.28855604 -0.146279104 -0.3132984981 -0.0451753951
#> exposing three flashcards fifteen days
#> 1 -0.0451753951 -0.5512662104 -0.0639530817 -0.0451753951 -0.14375669
#> inventory immediately themselves measured semantic differential
#> 1 -0.06819327 -0.085598831 -0.10589157 -0.209123990 -0.090629222 -0.102884919
#> repeated among however delayed greater detected
#> 1 -0.136648575 8.43296181 -0.432808222 -0.0627062141 -0.2091240 -0.101430957
#> graph responses interesting rated highest self
#> 1 -0.085598831 -0.14375669 -0.0451753951 -0.0548095928 -0.07389715 -0.233578919
#> exception lowest do appear impact emotionally
#> 1 -0.078406585 -0.085598831 -0.15980667 -0.12869980 -0.27820197 -0.0451753951
#> impaired culturally emotional disturbances goal evaluate
#> 1 -0.19304970 -0.0451753951 -0.136503950 -0.078406585 -0.137749275 -0.231099686
#> what we know young priorities clear
#> 1 -0.21171104 -0.331931673 -0.144190209 -0.10589157 -0.0451753951 -0.09617629
#> programmed instructions variety particularly suited delivery
#> 1 -0.090629222 -0.096176292 -0.211387652 -0.184721042 -0.0639530817 -0.16981795
#> examples currently light priority needs service
#> 1 -0.14627910 -0.159964674 -0.10589157 -0.0451753951 -0.2658149790 -0.090629222
#> hardware developments disucssed versus rooms
#> 1 -0.078406585 -0.0639530817 -0.0451753951 -0.128699798 -0.073897151
#> ld preliminary room spark computerized
#> 1 -0.131399124 -0.128699798 -0.095684841 -0.0451753951 -0.114922015
#> mid produced mastered daily radio
#> 1 -0.0639530817 -0.101430957 -0.096665336 6.85451085 -0.0451753951
#> shack terminals opposed nine experienced
#> 1 -0.0451753951 -0.0451753951 -0.0451753951 -0.151385743 -0.111226772
#> reset your button drive abilities
#> 1 -0.0451753951 -0.0451753951 -0.0451753951 -0.078406585 -0.160314732
#> author describes her help weak ss
#> 1 -0.111226772 -0.237114008 -0.117807269 -0.23470624 -0.073897151 -0.10959752
#> portions diagnostic aptitude peabody before experiences
#> 1 -0.0639530817 -0.1462791 -0.0639530817 -0.0451753951 -0.18371811 -0.212227615
#> sessions show format automaticity digit without
#> 1 -0.219014788 -0.255648670 -0.158957330 -0.094855830 -0.134761671 -0.326392776
#> attention been dominated large number display
#> 1 -0.172901888 -0.35773266 -0.0451753951 -0.193049696 -0.269406461 -0.139009286
#> possible cause failure acquired difficulty developing
#> 1 -0.16644515 -0.078406585 -0.10589157 -0.171323497 -0.19894617 -0.185505756
#> automated either them opportunities efficient ideally
#> 1 -0.090629222 -0.178782285 -0.24674067 -0.220327877 -0.13139912 -0.0451753951
#> optimal conditions moreover investigations suggests
#> 1 -0.0639530817 -0.202102742 -0.128699798 -0.078406585 -0.15828256
#> predominately embedding task environment thirty
#> 1 -0.0451753951 -0.096176292 -0.2125754711 -0.204391210 -0.111226772
#> conceptual plain assessed modes responding oral
#> 1 -0.208640110 -0.0451753951 4.40275693 -0.090629222 -0.111226772 -0.090629222
#> keyboard written reduction latency over
#> 1 -0.085598831 -0.142582028 -0.0606587916 -0.0639530817 -0.264121548
#> course consistently disadvantaged hypothesized attributed
#> 1 -0.173826791 -0.111226772 -0.090629222 -0.0606587916 -0.096176292
#> attentional selective sufficiently distracting interfere
#> 1 -0.0639530817 -0.0639530817 -0.0639530817 -0.0639530817 -0.0639530817
#> excellent care must taken evaluating
#> 1 -0.0639530817 -0.078406585 -0.13664857 -0.151385743 -0.128699798
#> emphasize sophisticated graphic embellishments rather
#> 1 -0.0639530817 -0.0639530817 -0.128848395 -0.0451753951 -0.136648575
#> quality deleterious strategy adolescents studied intervention
#> 1 -0.21087827 -0.0451753951 -0.23231778 -0.171847675 -0.15828256 -0.499201996
#> technique attempt baseline up behavioral female
#> 1 -0.142582028 -0.10143096 -0.275235796 -0.188809250 -0.14936222 -0.241239143
#> male public investigator correct phases recorded
#> 1 3.268525650 -0.134761671 -0.078406585 -0.16825843 -0.168148045 -0.123393572
#> graphs these poor demonstrated improved maintained
#> 1 -0.10596204 -0.49693980 6.59470090 -0.276139187 -0.331664928 -0.237114008
#> discontinued viable supplement normals pencil paper
#> 1 -0.0639530817 -0.096176292 -0.116128958 -0.0451753951 -0.16491831 -0.29069192
#> yr olds digital interventions peers
#> 1 -0.075429564 -0.0606587916 -0.233340608 -0.300577970 -0.238725899
#> identical pre sampled marked classes
#> 1 -0.090629222 -0.213042838 -0.0451753951 -0.0451753951 -0.161501728
#> failed able complete relatively complex nonretarded
#> 1 -0.111226772 -0.265818919 -0.179857605 -0.14375669 -0.173114830 -0.0451753951
#> micro tool integrate lists packages reported
#> 1 -0.078406585 -0.27759469 -0.136648575 -0.101430957 -0.105453637 2.574088089
#> proven starter paks specified montevideo
#> 1 -0.10143096 -0.0451753951 -0.0451753951 -0.0639530817 -0.0451753951
#> individualized prescriptive management minnesota measurement
#> 1 -0.149022531 -0.0451753951 -0.178219676 -0.0451753951 -0.107104126
#> monitoring progress metric assessing goals
#> 1 -0.104245975 -0.138803692 -0.0451753951 -0.128699798 -0.131399124
#> normative comparisons chapter end cutoff
#> 1 -0.0451753951 -0.075638549 -0.0660594839 -0.151385743 -0.0639530817
#> 20th percentile distribution correctly implications
#> 1 -0.0451753951 -0.0639530817 -0.090629222 -0.178284845 -0.53990105
#> adopting screening transfer rapidly expanding limited
#> 1 -0.0639530817 -0.096176292 -0.1179486 -0.078406585 -0.073897151 -0.24557315
#> efficacy primary investigate tables transfers fourth
#> 1 -0.173826791 -0.18503762 -0.200642410 -0.07840658 -0.0451753951 -0.16981795
#> participated minute timings subject's yielded gain
#> 1 -0.275235796 -0.123393572 -0.0451753951 -0.06395308 -0.13139912 -0.123393572
#> girls boys respectively evidenced worksheet
#> 1 -0.0681932723 -0.114922015 -0.104793459 -0.0451753951 -0.096176292
#> videodisc interactive videodisks incorporating principles
#> 1 -0.097697361 -0.18737821 -0.0451753951 -0.120262948 -0.189047352
#> basal fraction curriculum's superiority maintenance
#> 1 -0.0520047732 -0.172799906 -0.0451753951 -0.0451753951 -0.1817261892
#> reward arousal tutor rewards question
#> 1 -0.0520047732 -0.0451753951 -0.0670883069 -0.0606587916 -0.11492201
#> manifestation perform lack reflection deficit
#> 1 -0.0451753951 -0.121994150 -0.201595813 -0.078406585 -0.137625660
#> yet answered focused providing enhance mixed
#> 1 -0.268916126 -0.11337260 -0.209123990 -0.22670915 -0.21738493 -0.18745508
#> others report interstimulus redundant under
#> 1 -0.111226772 -0.149022531 -0.0451753951 -0.0451753951 -0.145107494
#> contingencies comparing past issues around
#> 1 -0.0639530817 -0.200309264 -0.111226772 -0.15828256 -0.111226772
#> heterogeneity wide variation complexity majority
#> 1 -0.0639530817 6.30715796 -0.078406585 -0.128699798 5.623184138
#> confound institution dissertation modalities physiological
#> 1 -0.0451753951 -0.0639530817 -0.121994150 -0.073897151 -0.0451753951
#> specifically skin conductance index thought
#> 1 -0.20912399 -0.0451753951 -0.0451753951 -0.0639530817 -0.144190209
#> indication run consecutively attending
#> 1 -0.0451753951 -0.0451753951 -0.0451753951 -0.073897151
#> [ reached 'max' / getOption("max.print") -- omitted 4 rows and 4078 columns ]
#>
#> Clustering vector:
#> text1 text2 text3 text4 text5 text6 text7 text8 text9 text10
#> 3 3 3 3 3 3 3 3 3 3
#> text11 text12 text13 text14 text15 text16 text17 text18 text19 text20
#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 2 2 2 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
#> text411 text412 text413 text414 text415 text416 text417 text418 text419 text420
#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 5 3 1 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
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#> 3 3 3 3 3 3 3 3 3 3
#> text481 text482 text483 text484 text485 text486 text487 text488 text489 text490
#> 3 3 3 3 3 3 3 3 3 3
#>
#> Within cluster sum of squares by cluster:
#> [1] 0.00 46176.01 2347289.95 0.00 0.00
#> (between_SS / total_SS = 3.6 %)
#>
#> Available components:
#>
#> [1] "cluster" "centers" "totss" "withinss" "tot.withinss"
#> [6] "betweenss" "size" "iter" "ifault"
#>
#> $auto_detected
#> [1] FALSE
#>
#> $detection_method
#> [1] "Manual"
#>
#> $silhouette
#> [1] 0.3322823
#>
#> $davies_bouldin
#> [1] 1.403624
#>
#> $calinski_harabasz
#> [1] 4.542877
#>
#> $execution_time
#> [1] 56.57299
#>
#> $timestamp
#> [1] "2026-08-14 23:30:10 CDT"
#>
#> $seed
#> [1] 123
#>
#> Starting clustering analysis with method: hierarchical
#> Performing hierarchical clustering...
#> Calculating quality metrics...
#> Clustering analysis completed in 50.49 seconds
#> Found 5 clusters
#> $clusters
#> text1 text2 text3 text4 text5 text6 text7 text8 text9 text10
#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
#> text41 text42 text43 text44 text45 text46 text47 text48 text49 text50
#> 1 1 1 1 1 1 1 1 1 1
#> text51 text52 text53 text54 text55 text56 text57 text58 text59 text60
#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
#> text71 text72 text73 text74 text75 text76 text77 text78 text79 text80
#> 1 1 1 1 1 1 1 1 1 1
#> text81 text82 text83 text84 text85 text86 text87 text88 text89 text90
#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 2 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
#> text251 text252 text253 text254 text255 text256 text257 text258 text259 text260
#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 3 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
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#> 1 1 1 1 1 1 1 1 1 1
#> text391 text392 text393 text394 text395 text396 text397 text398 text399 text400
#> 1 1 1 1 1 1 1 1 1 1
#> text401 text402 text403 text404 text405 text406 text407 text408 text409 text410
#> 1 1 1 1 1 1 1 1 1 1
#> text411 text412 text413 text414 text415 text416 text417 text418 text419 text420
#> 1 1 1 1 1 1 1 1 1 1
#> text421 text422 text423 text424 text425 text426 text427 text428 text429 text430
#> 1 1 1 1 1 1 1 1 1 1
#> text431 text432 text433 text434 text435 text436 text437 text438 text439 text440
#> 1 1 1 1 4 1 5 1 1 1
#> text441 text442 text443 text444 text445 text446 text447 text448 text449 text450
#> 1 1 1 1 1 1 1 1 1 1
#> text451 text452 text453 text454 text455 text456 text457 text458 text459 text460
#> 1 1 1 1 1 1 1 1 1 1
#> text461 text462 text463 text464 text465 text466 text467 text468 text469 text470
#> 1 1 1 1 1 1 1 1 1 1
#> text471 text472 text473 text474 text475 text476 text477 text478 text479 text480
#> 1 1 1 1 1 1 1 1 1 1
#> text481 text482 text483 text484 text485 text486 text487 text488 text489 text490
#> 1 1 1 1 1 1 1 1 1 1
#>
#> $method
#> [1] "hierarchical"
#>
#> $n_clusters
#> [1] 5
#>
#> $hclust_result
#>
#> Call:
#> stats::hclust(d = dist_matrix, method = "ward.D2")
#>
#> Cluster method : ward.D2
#> Distance : euclidean
#> Number of objects: 490
#>
#>
#> $auto_detected
#> [1] FALSE
#>
#> $detection_method
#> [1] "Manual"
#>
#> $silhouette
#> [1] 0.3798109
#>
#> $davies_bouldin
#> [1] 0.4511765
#>
#> $calinski_harabasz
#> [1] 4.595968
#>
#> $execution_time
#> [1] 50.49405
#>
#> $timestamp
#> [1] "2026-08-14 23:31:01 CDT"
#>
#> $seed
#> [1] 123
#>
#> Starting clustering analysis with method: umap_dbscan
#> Performing UMAP + DBSCAN clustering...
#> Starting dimensionality reduction with method: UMAP
#> Performing PCA preprocessing...
#> Performing UMAP on PCA results...
#> Dimensionality reduction completed in 10.83 seconds
#> Determining optimal eps parameter...
#> Reassigning up to 11 noise points to nearest cluster (euclidean in UMAP space, threshold 0)...
#> Calculating quality metrics...
#> Clustering analysis completed in 10.95 seconds
#> Found 2 clusters
#> $clusters
#> [1] 1 1 1 1 1 2 1 2 1 1 2 1 1 2 2 1 1 1 2 1 1 1 1 1 1 2 1 1 1 2 1 1 2 1 1 1 1
#> [38] 1 1 1 1 2 1 2 1 1 1 2 2 2 1 2 2 1 1 1 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1
#> [75] 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1
#> [112] 1 1 1 1 2 1 1 2 1 1 1 1 1 1 1 1 1 1 1 2 2 2 1 1 1 1 1 2 2 1 1 1 2 2 1 1 2
#> [149] 1 1 1 1 1 2 1 2 2 2 2 1 1 1 1 1 1 1 1 2 2 2 1 2 1 2 1 1 2 2 2 1 1 2 1 1 1
#> [186] 1 2 2 2 1 2 2 1 1 1 2 1 1 1 2 2 1 1 2 2 1 1 2 1 2 1 1 1 2 1 2 2 1 1 2 1 1
#> [223] 2 1 1 2 2 1 2 1 1 1 2 1 2 2 1 2 2 2 2 1 1 2 1 1 1 2 1 2 1 1 1 1 2 1 2 1 2
#> [260] 2 1 1 1 1 2 2 2 2 1 1 1 2 1 2 1 1 2 2 1 1 1 2 1 2 1 1 1 1 1 1 1 1 2 1 1 1
#> [297] 2 1 2 1 2 1 2 1 1 1 2 1 2 2 2 2 2 1 1 2 2 2 1 1 2 1 1 1 1 1 1 1 2 2 1 2 2
#> [334] 2 2 1 1 1 1 1 1 2 1 2 2 2 1 1 2 2 2 1 2 1 2 1 1 1 1 1 1 2 2 2 1 1 2 2 1 1
#> [371] 2 1 1 1 1 2 2 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 2 1 1 1 1 1 1 2 2 1 2 2 1 2 1
#> [408] 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 2 1 2 1 1 2 2 1 1 1 2 2 1 2 2 2 1 1 1 1 1
#> [445] 2 1 1 1 1 1 1 1 1 1 1 1 2 2 1 1 1 1 1 1 1 2 1 1 1 1 1 2 1 1 2 2 1 1 1 1 1
#> [482] 1 1 1 1 1 1 2 1 1
#>
#> $method
#> [1] "umap_dbscan"
#>
#> $n_clusters
#> [1] 2
#>
#> $umap_embedding
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#> text78 0.343358200 -0.200460611 -0.584214772 1.63147870 -0.387890836
#> text79 -0.009170288 -0.019641326 -0.253382593 0.06126356 -0.325942135
#> text80 0.047430430 -0.122818566 -0.729663188 1.46427040 0.041090565
#> text81 -0.069440446 -0.116893691 -0.551097273 1.06525134 0.420343394
#> text82 -0.229953857 0.407495682 -0.983469471 2.06320861 -0.326167236
#> text83 -0.282184523 0.661966802 -1.119997683 2.21727736 -0.531961640
#> text84 -0.373984346 0.414946980 -0.435200251 -0.03158681 -0.899851858
#> text85 0.862973123 -0.975365698 1.197296197 -2.11136019 -0.671350617
#> text86 -0.319927548 0.638925936 -1.072286962 1.75649865 -0.306424896
#> text87 -0.371577452 0.274579767 -0.893371906 1.96185958 -0.371538494
#> text88 0.011724953 -0.048996972 -0.586657515 1.04904879 0.348866322
#> text89 -0.295300508 0.077671424 -0.529971674 0.88873266 0.565730012
#> text90 -0.808757902 0.236911795 -0.512366686 0.26973822 0.493803566
#> text91 0.267014248 0.344445152 -0.726335954 1.16434600 -0.039555231
#> text92 -0.138816936 0.506096730 -1.011889923 1.96272121 -0.718700087
#> text93 -0.150502982 0.556837762 -1.078532798 1.85977816 -0.222812236
#> text94 -0.032213575 0.635629806 -0.710180457 0.59442264 -0.045101433
#> text95 -0.419024521 0.508693402 -1.071712581 2.15550762 -0.501923255
#> text96 -0.365279968 0.715896540 -1.169008765 1.90385496 -0.601140585
#> text97 -0.209671865 0.105177635 -0.731708148 1.65779065 0.083929335
#> text98 -0.268694191 0.803565512 -1.079026292 1.41059705 -0.377033470
#> text99 -0.255127543 0.065725252 -0.672442494 1.42747886 0.284612545
#> text100 -0.420277331 0.388493678 -0.859625071 1.62119077 -0.194328699
#> [ reached 'max' / getOption("max.print") -- omitted 390 rows ]
#>
#> $dbscan_result
#> DBSCAN clustering for 490 objects.
#> Parameters: eps = 0.859584299639279, minPts = 11
#> Using euclidean distances and borderpoints = TRUE
#> The clustering contains 2 cluster(s) and 11 noise points.
#>
#> 0 1 2
#> 11 333 146
#>
#> Available fields: cluster, eps, minPts, metric, borderPoints
#>
#> $auto_detected
#> [1] TRUE
#>
#> $detection_method
#> [1] "90th percentile of kNN distances"
#>
#> $noise_ratio
#> [1] 0.02244898
#>
#> $reduce_outliers
#> [1] TRUE
#>
#> $outlier_strategy
#> [1] "centroid"
#>
#> $outlier_metric
#> [1] "euclidean"
#>
#> $outlier_space
#> [1] "UMAP space"
#>
#> $outliers_reassigned
#> [1] 11
#>
#> $parameters
#> $parameters$eps
#> 90%
#> 0.8595843
#>
#> $parameters$min_samples
#> [1] 11
#>
#> $parameters$umap_neighbors
#> [1] 15
#>
#> $parameters$umap_min_dist
#> [1] 0.1
#>
#> $parameters$umap_metric
#> [1] "cosine"
#>
#>
#> $silhouette
#> [1] 0.530793
#>
#> $davies_bouldin
#> [1] 0.6524504
#>
#> $calinski_harabasz
#> [1] 682.4094
#>
#> $execution_time
#> [1] 10.95423
#>
#> $timestamp
#> [1] "2026-08-14 23:31:12 CDT"
#>
#> $seed
#> [1] 123
#>