Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data Vectors

Esther Derman, Erwan Le Pennec

In this study, we consider unsupervised clustering of categorical vectors that can be of different size using mixture. We use likelihood maximization to estimate the parameters of…