The MMPCA package implements the branch & bound classification-Variational Expectation Maximisation algorithm described in Jouvin et. al. https://arxiv.org/abs/1909.00721. 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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.