Description Usage Arguments Details
Clusters the vectors using 2-stage clustering algorithm
1 | cluster_text(mat, dev_mat, n_clusters, cleanDFM, num_terms)
|
mat |
The clean dfm as a matrix and transposed, from |
dev_mat |
The deviation matrix of the dfm, from |
n_clusters |
number of desired clusters |
cleanDFM |
DFM object from |
num_terms |
Minimum number of terms per document |
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
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