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: | 0.2-5 |
| Imports: | RColorBrewer |
| Suggests: | testthat |
| Published: | 2020-04-23 |
| 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: | NEWS |
| In views: | Cluster |
| CRAN checks: | clustMixType results |
| Reference manual: | clustMixType.pdf |
| Package source: | clustMixType_0.2-5.tar.gz |
| Windows binaries: | r-devel: clustMixType_0.2-5.zip, r-release: clustMixType_0.2-5.zip, r-oldrel: clustMixType_0.2-5.zip |
| macOS binaries: | r-release: clustMixType_0.2-5.tgz, r-oldrel: clustMixType_0.2-5.tgz |
| Old sources: | clustMixType archive |
| Reverse imports: | radiant.multivariate |
| Reverse suggests: | FeatureImpCluster |
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