MixAll: Clustering and Classification using Model-Based Mixture Models

Algorithms and methods for model-based clustering and classification. It supports various types of data: continuous, categorical and counting and can handle mixed data of these types. It can fit Gaussian (with diagonal covariance structure), gamma, categorical and Poisson models. The algorithms also support missing values.

Package details

AuthorSerge Iovleff [aut, cre], Parmeet Bathia [ctb]
MaintainerSerge Iovleff <Serge.Iovleff@stkpp.org>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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MixAll documentation built on June 22, 2024, 6:56 p.m.