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Classes | |
class | SampleInitialization |
Namespaces | |
mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
mlpack::kmeans | |
K-Means clustering. | |
In order to construct initial centroids, randomly sample points from the dataset. This tends to give better results than the RandomPartition strategy.
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 sample_initialization.hpp.