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.

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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 1.0.5.

mlpack is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

mlpack is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details (LICENSE.txt).

You should have received a copy of the GNU General Public License along with mlpack. If not, see <http://www.gnu.org/licenses/>.

Definition in file max_variance_new_cluster.hpp.