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, <doi:10.1023/A:1009769707641>.
Version: | 0.1-29 |
Imports: | RColorBrewer |
Published: | 2017-10-17 |
Author: | Gero Szepannek |
Maintainer: | Gero Szepannek <gero.szepannek at web.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
In views: | Cluster |
CRAN checks: | clustMixType results |
Reference manual: | clustMixType.pdf |
Package source: | clustMixType_0.1-29.tar.gz |
Windows binaries: | r-devel: clustMixType_0.1-29.zip, r-release: clustMixType_0.1-29.zip, r-oldrel: clustMixType_0.1-29.zip |
OS X El Capitan binaries: | r-release: clustMixType_0.1-29.tgz |
OS X Mavericks binaries: | r-oldrel: clustMixType_0.1-29.tgz |
Old sources: | clustMixType archive |
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