show.clusters

data

<p>A vector, segmentation of variables into clusters.</p>

segmentation

Performs clustering of quantitative variables,
assuming that clusters lie in low-dimensional subspaces. Segmentation of
variables, number of clusters and their dimensions are selected based on
BIC. Candidate models are identified based on many runs of K-means
algorithm with different random initializations of cluster centers.

Piotr Sobczyk

show.clusters: Print clusters obtained from MLCC

Description

Usage

Arguments