MoMPCA: MoMPCA: Greedy clustering of count data through a mixture of...

Description Details


The MMPCA package implements the branch & bound classification-Variational Expectation Maximisation algorithm described in Jouvin et. al. It enables the clustering of counts data such as document/term matrix modeled as a mixture of multinomial PCA model. Model selection is performed via an approximated form of the Integrated Classification Likelihood. .


The main entry point is the mmpca_clust() function to perfom the clustering.

MoMPCA documentation built on July 1, 2020, 9:36 p.m.