max_variance_new_cluster.hpp File Reference

Include dependency graph for max_variance_new_cluster.hpp:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes
class	mlpack::kmeans::MaxVarianceNewCluster
	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...

Namespaces
	mlpack
	Linear algebra utility functions, generally performed on matrices or vectors.
	mlpack::kmeans
	K-Means clustering.

Detailed Description

Author

Ryan Curtin

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.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Definition in file max_variance_new_cluster.hpp.