|When an empty cluster is detected, this class takes the point furthest from the centroid of the cluster with maximum variance as a new cluster. More...|
Linear algebra utility functions, generally performed on matrices or vectors.
An implementation of the EmptyClusterPolicy policy class for K-Means. When an empty cluster is detected, the point furthest from the centroid of the cluster with maximum variance is taken to be a new cluster.
This file is part of mlpack 1.0.9.
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Definition in file max_variance_new_cluster.hpp.
Generated on Mon Jul 28 2014 14:13:06 for mlpack by 1.7.1