Description
K-Prototypes Clustering for Mixed Variable-Type Data.
Description
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.
README.md
Development version of the R Package clustMixType
k-Prototypes Clustering for Mixed Variable-Type Data. For details cf. the R Journal paper.
Corresponding papers on valdiation indices and missing data and an extension for ordinal variables using Gower's distance of the k-prototypes algorithm.
Installation
Install the current CRAN release of the package in R:
install.packages(clustMixType)
Install the latest development version of the package in R from this repository.
remotes::install_github("https://github.com/g-rho/clustMixType.git")