The Reinert Method for Textual Data Clustering
Split a dtm into two clusters with reinert algorithm
Returns the number of segment of each cluster for each source document
Cut a rainette result tree into groups of documents
Cut a rainette2 result object into groups of documents
Cut a tree into groups
Returns, for each cluster, the number of source documents with at leas...
Import a corpus in Iramuteq format
Merges segments according to minimum segment size
return documents indices ordered by CA first axis coordinates
Shiny gadget for rainette clustering exploration
Generate a clustering description plot from a rainette result
Generate cluster keyness statistics from a rainette result
Corpus clustering based on the Reinert method - Simple clustering
Complete groups membership with knn classification
Shiny gadget for rainette2 clustering exploration
Generate a clustering description plot from a rainette2 result
Corpus clustering based on the Reinert method - Double clustering
Remove features from dtm of each group base don cc_test and tsj
Split a character string or corpus into segments
Switch documents between two groups to maximize chi-square value
An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.