Dimension reduction

High-dimensional data and graph clustering with discrete latent variable models

PhD. Thesis

Greedy clustering of count data through a mixture of multinomial PCA

We propose a new model for the clustering of count data that integrates mixture modeling with the dimension reduction aspect of topic modeling.