Package: clustMixType 0.5-2

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 and G.Szepannek et al. (2025): Clustering Large Mixed-Type Data with Ordinal Variables, Adv Data Anal Classif 19, 749–767.
Authors:
clustMixType_0.5-2.tar.gz
clustMixType_0.5-2.zip(r-4.7)clustMixType_0.5-2.zip(r-4.6)clustMixType_0.5-2.zip(r-4.5)
clustMixType_0.5-2.tgz(r-4.6-any)clustMixType_0.5-2.tgz(r-4.5-any)
clustMixType_0.5-2.tar.gz(r-4.7-any)clustMixType_0.5-2.tar.gz(r-4.6-any)
clustMixType_0.5-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clustMixType/json (API)
| # Install 'clustMixType' in R: |
| install.packages('clustMixType', repos = c('https://g-rho.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/g-rho/clustmixtype/issues
Last updated from:9baf54b189. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 251 | ||
| source / vignettes | OK | 210 | ||
| linux-release-x86_64 | OK | 266 | ||
| macos-release-arm64 | OK | 177 | ||
| macos-oldrel-arm64 | OK | 253 | ||
| windows-devel | OK | 213 | ||
| windows-release | OK | 216 | ||
| windows-oldrel | OK | 203 | ||
| wasm-release | OK | 96 |
Exports:clprofilesimportance_kprotokprotokproto2silhouettelambdaeststability_kprotovalidation_kproto
Dependencies:cliclustercombinatdplyrgenericsgluelifecyclemagrittrmclustpillarpkgconfigR6RColorBrewerrlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Profiling k-Prototypes Clustering | clprofiles |
| Variable Importance | importance_kproto |
| k-Prototypes Clustering | kproto kproto.default |
| Compute individual Silhouette Widths | kproto2silhouette |
| Compares Variability of Variables | lambdaest |
| Assign k-Prototypes Clusters | plot.kproto |
| Assign k-Prototypes Clusters | predict.kproto |
| Determination of the stability of k Prototypes Clustering | stability_kproto |
| Summary Method for kproto Cluster Result | summary.kproto |
| Validating k Prototypes Clustering | validation_kproto |
