k-Prototypes Clustering for Mixed Variable-Type Data R package clustMixType version 0.5-2 CRAN Task View: Cluster (https://CRAN.R-project.org/view=Cluster) 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. Software Imports: RColorBrewer, tibble, combinat, dplyr, rlang, cluster, mclust Suggests: testthat Gero Szepannek <gero.szepannek@web.de> Comprehensive R Archive Network (CRAN) Gero Szepannek [aut, cre], Rabea Aschenbruck [aut] GPL (>= 2) 2026-06-29 application/tgz https://CRAN.R-project.org/package=clustMixType doi:10.32614/CRAN.package.clustMixType