naive_kmeans.hpp File Reference
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Classes | |
| class | NaiveKMeans< MetricType, MatType > |
| This is an implementation of a single iteration of Lloyd's algorithm for k-means. More... | |
Namespaces | |
| mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::kmeans | |
K-Means clustering. | |
Detailed Description
An implementation of a naively-implemented step of the Lloyd algorithm for k-means clustering, using OpenMP for parallelization over multiple threads. This may still be the best choice for small datasets or datasets with very high dimensionality.
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 naive_kmeans.hpp.