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MatTransMix (version 0.1.18)

Clustering with Matrix Gaussian and Matrix Transformation Mixture Models

Description

Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", .

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Version

Install

install.packages('MatTransMix')

Monthly Downloads

318

Version

0.1.18

License

GPL (>= 2)

Maintainer

Xuwen Zhu

Last Published

January 29th, 2025

Functions in MatTransMix (0.1.18)

crime

Crime data
MatTrans.init

Initialization for the EM algorithm for matrix clustering
MatTransMix-package

Finite mixture modeling and model-based clustering of matrices based on matrix Gaussian mixture and matrix transformation mixture models.
print.object

Functions for Printing or Summarizing Objects
MatTrans.EM

EM algorithm for matrix clustering
Salary

Salary data
MatTrans.plot

Mean coordinate plot
IMDb

IMDb data