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).

AuthorJeffrey L. Andrews, Paul D. McNicholas
Date of publication2013-11-17 08:24:55
MaintainerJeffrey L. Andrews <jeffrey.andrews@macewan.ca>
LicenseGPL (>= 2)
Version0.2

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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