Src/mlpack/methods/kmeans/max_variance_new_cluster.hpp -
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.
mlpack
Linear algebra utility functions, generally performed on matrices or vectors. mlpack::kmeans
K-Means clustering.
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 1.0.10.
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).
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Definition in file max_variance_new_cluster.hpp.
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