190 citations · 1.3k across the 74 of their papers we have counts for
4 papers · 1 filter
Mixture Model Averaging for Clustering
Yuhong Wei, Paul D. McNicholas
In mixture model-based clustering applications, it is common to fit several models from a family and report clustering results from only the `best' one. In such circumstances, sele…
A LASSO-Penalized BIC for Mixture Model Selection
Sakyajit Bhattacharya, Paul D. McNicholas
The efficacy of family-based approaches to mixture model-based clustering and classification depends on the selection of parsimonious models. Current wisdom suggests the Bayesian i…
Clustering and Classification via Cluster-Weighted Factor Analyzers
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia +1
In model-based clustering and classification, the cluster-weighted model constitutes a convenient approach when the random vector of interest constitutes a response variable Y and…
Mixtures of Shifted Asymmetric Laplace Distributions
Brian C. Franczak, Ryan P. Browne, Paul D. McNicholas
A mixture of shifted asymmetric Laplace distributions is introduced and used for clustering and classification. A variant of the EM algorithm is developed for parameter estimation…