mlpack: src/mlpack/methods/kmeans/max_variance_new_cluster.hpp File Reference

max_variance_new_cluster.hpp File Reference

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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

namespace  mlpack
 

Linear algebra utility functions, generally performed on matrices or vectors.


namespace  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.

This file is part of mlpack 1.0.12.

mlpack is free software; you may redstribute 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.