mixture: Mixture Models for Clustering and Classification. An implementation of all 14 Gaussian parsimonious clustering models (GPCMs) for model-based clustering and model-based classification.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Punzo, Antonio; McNicholas, Paul D.: Parsimonious mixtures of multivariate contaminated normal distributions (2016)
- McNicholas, Paul D.; Browne, Ryan P.; Murray, Paula M.: Discussion of `Model-based clustering and classification with non-normal mixture distributions’ by Lee and McLachlan (2013)
- Morris, Katherine; McNicholas, Paul D.: Dimension reduction for model-based clustering via mixtures of shifted asymmetric Laplace distributions (2013)