R package vscc: Variable selection for clustering and classification. Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods (tEIGEN and MCLUST are currently supported).
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Fop, Michael; Murphy, Thomas Brendan: Variable selection methods for model-based clustering (2018)
- Luca Scrucca; Adrian Raftery: clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R (2018) not zbMATH
- McNicholas, Paul D.: Model-based clustering (2016)