qVarSel: Variables Selection for Clustering and Classification
For a given data matrix A and cluster centers/prototypes collected in the matrix P, the functions described here select a subset of statistic variables Q that mostly explains/justifies P as prototypes. The functions are useful to reduce the data dimension for classification and to discard masking variables for clustering.
- Stefano Benati
- Date of publication
- 2014-06-12 16:42:34
- Stefano Benati <firstname.lastname@example.org>
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