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Assign Unclustered Documents to Confirmed Categories

Source: R/pattern_confirmation.R
assign_noise.Rd

Places documents left unassigned by density-based clustering, by similarity to confirmed category members. Distance is returned so weak placements stay visible, and max_distance leaves distant documents unassigned.

Usage

assign_noise(
  embeddings,
  categories,
  k = 5,
  max_distance = NULL,
  unassigned = 0
)

Arguments

embeddings

Numeric matrix or data frame, one row per document.

categories

Category labels; NA or any value in unassigned marks a document as not yet placed.

k

Neighbours to consult (default 5).

max_distance

Cosine distance beyond which a document stays unassigned. NULL (default) places every document.

unassigned

Label marking a document as not yet placed. Defaults to 0, which fit_embedding_model() emits for outliers.

Value

A tibble with index, assigned, and distance, one row per previously unassigned document.

See also

validate_categories() to test the categories afterwards.