Simple clustering

Simple clustering computation and visualisation

rainette()

Corpus clustering based on the Reinert method - Simple clustering

cutree_rainette()

Cut a rainette result tree into groups of documents

rainette_plot()

Generate a clustering description plot from a rainette result

rainette_explor()

Shiny gadget for rainette clustering exploration

Double clustering

Double clustering computation and visualisation

rainette2()

Corpus clustering based on the Reinert method - Double clustering

cutree_rainette2()

Cut a rainette2 result object into groups of documents

rainette2_complete_groups()

Complete groups membership with knn classification

rainette2_plot()

Generate a clustering description plot from a rainette2 result

rainette2_explor()

Shiny gadget for rainette2 clustering exploration

Clustering statistics

Functions used to get clustering statistics

rainette_stats()

Generate cluster keyness statistics from a rainette result

Corpus importation and segmentation

Functions to import or segment a textual corpus

import_corpus_iramuteq()

Import a corpus in Iramuteq format

split_segments()

Split a character string or corpus into segments

Utility functions

Functions used internally for computation

cluster_tab()

Split a dtm into two clusters with reinert algorithm

cutree()

Cut a tree into groups

order_docs()

return documents indices ordered by CA first axis coordinates

select_features()

Remove features from dtm of each group base don cc_test and tsj

switch_docs()

Switch documents between two groups to maximize chi-square value