summarizeHDBSCAN: Summarize HDBSCAN data for a model
In montesmariana/semcloud: Post-processing of token-level clouds

summarizeHDBSCAN

R Documentation

Summarize HDBSCAN data for a model

Summarize HDBSCAN data for a model

summarizeHDBSCAN(
  lemma,
  modelname,
  input_dir,
  output_dir,
  minPts = 8,
  includePlot = FALSE,
  coords_name = ".tsne.30"
)

`lemma`	Name of the lemma, for filenames
`modelname`	Name of the model, for coordinates and filename
`input_dir`	Directory where the distance matrix is stored
`output_dir`	Directory where coordinates are stored. This directory must contain: A file with the coordinates of the tokens, with a name combining `lemma` and `coords_name` and ending in `.tsv`. A file with coordinates for the context words, with a name combining `lemma` and `coords_name` and ending in `.cws.tsv`. A file with semicolon-separated lists of context words, with a name combining `lemma` and `.variables.tsv`
`minPts`	Minimum points for `hdbscan`
`includePlot`	Whether too include the plot (requires `cowplot`.)
`coords_name`	The code in the coordinate files indicating the type of dimensionality reduction performed, for filenames

list with at least two items:

coords: a tibble with one row per token, the coordinates in the pertinent file, and information from extractHDBSCAN as well as the variables file.
cws: a tibble with one row per context word and cluster, output from cwsForClusters, combined with coordinates from the relevant file.
hplot: If includePlot, the HDBSCAN plot.