4 citations · 10 across the 22 of their papers we have counts for
3 papers · 1 filter
Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data
Andrea Payne, Anjali Silva, Steven J. Rothstein +2
A mixture of multivariate Poisson-log normal factor analyzers is introduced by imposing constraints on the covariance matrix, which resulted in flexible models for clustering purpo…
Clustering Three-Way Data with Outliers
Katharine M. Clark, Paul D. McNicholas
Matrix-variate distributions are a relatively recent addition to the model-based clustering literature, thereby making it possible to analyze data in matrix form with complex struc…
Flexible Variable Selection for Clustering and Classification
Mackenzie R. Neal, Paul D. McNicholas
The importance of variable selection for clustering has been recognized for some time, and mixture models are well-established as a statistical approach to clustering. Yet, the lit…