Package: varclust 0.10.0

varclust: Variables Clustering

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.

Authors:Piotr Sobczyk, Stanislaw Wilczynski, Julie Josse, Malgorzata Bogdan

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varclust.pdf |varclust.html✨
varclust/json (API)

# Install 'varclust' in R:
install.packages('varclust', repos = c('https://psobczyk.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/psobczyk/varclust/issues

On CRAN:

Conda:

4.32 score 3 stars 14 scripts 158 downloads 1 mentions 8 exports 12 dependencies

Last updated 4 years agofrom:c2b23b96a1. Checks:1 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winERRORFeb 18 2025
R-4.5-macERRORFeb 18 2025
R-4.5-linuxERRORFeb 18 2025
R-4.4-winERRORFeb 18 2025
R-4.4-macERRORFeb 18 2025
R-4.3-winERRORFeb 18 2025
R-4.3-macERRORFeb 18 2025

Exports:data.simulationdata.simulation.factorsintegrationmisclassificationmlcc.bicmlcc.kmeansmlcc.repsshow.clusters

Dependencies:codetoolsdigestdoParalleldoRNGforeachiteratorslatticeMatrixpeselRcppRcppEigenrngtools

varclust package tutorial

Piotr Sobczyk

Rendered fromvarclustTutorial.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2020-03-08
Started: 2014-11-01