cluster_text: Clusters the vectors using 2-stage clustering algorithm

In clustRcompaR: Easy Interface for Clustering a Set of Documents and Exploring Group- Based Patterns

Description

Clusters the vectors using 2-stage clustering algorithm

Usage

cluster_text(mat, dev_mat, n_clusters, cleanDFM, num_terms)

Arguments

mat	The clean dfm as a matrix and transposed, from deviationalize
dev_mat	The deviation matrix of the dfm, from deviationalize
n_clusters	number of desired clusters
cleanDFM	DFM object from clean_dfm function
num_terms	Minimum number of terms per document

Details

Applies 2 stage clustering algorithm, using Ward's method for hierarchical agglomerative clustering to set the centers for the specified number of clusters. K-means algorithm uses these centers as a starting point and fits its model. @export

clustRcompaR documentation built on May 1, 2019, 11:16 p.m.