mlpack::kernel::KMeansSelection< ClusteringType, maxIterations > Class Template Reference

Implementation of the kmeans sampling scheme. More...

#include <kmeans_selection.hpp>

Static Public Member Functions
static const arma::mat *	Select (const arma::mat &data, const size_t m)
	Use the K-Means clustering method to select the specified number of points in the dataset. More...

Detailed Description

template<typename ClusteringType = kmeans::KMeans<>, size_t maxIterations = 5>
class mlpack::kernel::KMeansSelection< ClusteringType, maxIterations >

Implementation of the kmeans sampling scheme.

Template Parameters

ClusteringType	Type of clustering.
maxIterations	Maximum number of iterations allowed before giving up.

Member Function Documentation

Select()

template<typename ClusteringType = kmeans::KMeans<>, size_t maxIterations = 5>

static const arma::mat* mlpack::kernel::KMeansSelection< ClusteringType, maxIterations >::Select ( const arma::mat &  data, const size_t  m  )

inlinestatic

Use the K-Means clustering method to select the specified number of points in the dataset.

You are responsible for deleting the returned matrix!

Parameters

data	Dataset to sample from.
m	Number of points to select.

Returns

Matrix pointer in which centroids are stored.

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The documentation for this class was generated from the following file:

• src/mlpack/methods/nystroem_method/kmeans_selection.hpp