clustMixType: k-Prototypes Clustering for Mixed Variable-Type Data

Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to Z.Huang (1998): Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Variables, Data Mining and Knowledge Discovery 2, 283-304.

Version: 0.3-14
Imports: RColorBrewer, tibble, combinat, dplyr, rlang
Suggests: testthat
Published: 2023-12-10
Author: Gero Szepannek [aut, cre], Rabea Aschenbruck [aut]
Maintainer: Gero Szepannek <gero.szepannek at web.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: clustMixType citation info
Materials: README NEWS
In views: Cluster
CRAN checks: clustMixType results

Documentation:

Reference manual: clustMixType.pdf

Downloads:

Package source: clustMixType_0.3-14.tar.gz
Windows binaries: r-devel: clustMixType_0.3-14.zip, r-release: clustMixType_0.3-14.zip, r-oldrel: clustMixType_0.3-14.zip
macOS binaries: r-release (arm64): clustMixType_0.3-14.tgz, r-oldrel (arm64): clustMixType_0.3-14.tgz, r-release (x86_64): clustMixType_0.3-14.tgz
Old sources: clustMixType archive

Reverse dependencies:

Reverse imports: citrus, phyloregion, radiant.multivariate
Reverse suggests: butcher, CAST, FCPS, FeatureImpCluster, tidyclust, vetiver
Reverse enhances: klaR

Linking:

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