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CompositionalClust (version 1.2)

Clustering with Compositional Data

Description

Cluster analysis with compositional data using the alpha--transformation. Relevant papers include: Tsagris M. and Kontemeniotis N. (2025), . Tsagris M.T., Preston S. and Wood A.T.A. (2011), . Garcia-Escudero Luis A., Gordaliza Alfonso, Matran Carlos, Mayo-Iscar Agustin. (2008), .

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Version

Install

install.packages('CompositionalClust')

Monthly Downloads

139

Version

1.2

License

GPL (>= 2)

Maintainer

Michail Tsagris

Last Published

November 3rd, 2025

Functions in CompositionalClust (1.2)

index_max

Cluster indices (maximal valued) for the \(K\)--means algorithm
Gaussian mixture models for compositional data using the alpha-transformation

Gaussian mixture models for compositional data using the \(\alpha\)-transformation
alfa.kmeans

The \(K\)--means algorithm for compositional data using the \(\alpha\)--transformation
clust.plot

Visualization of the \(K\)--means algorithm results
cikmeans

The \(K\)--means algorithm with cluster indices computed
Mixture model selection with the alpha-transformation using BIC

Mixture model selection with the \(\alpha\)-transformation using BIC
alfa.cikmeans

Cluster indices for the \(K\)--means algorithm for compositional data using the \(\alpha\)--transformation
index_min

Cluster indices (minimial valued) for the \(K\)--means algorithm
CompositionalClust-package

Clustering with Compositional Data
The alpha-transformation

The \(\alpha\)-transformation