mlpack::kmeans::MaxVarianceNewCluster Class Reference

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...

List of all members.

Public Member Functions
	MaxVarianceNewCluster ()
	Default constructor required by EmptyClusterPolicy.
Static Public Member Functions
template<typename MatType >
static size_t	EmptyCluster (const MatType &data, const size_t emptyCluster, const MatType &centroids, arma::Col< size_t > &clusterCounts, arma::Col< size_t > &assignments)
	Take the point furthest from the centroid of the cluster with maximum variance to be a new cluster.

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Detailed Description

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.

Definition at line 36 of file max_variance_new_cluster.hpp.

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Constructor & Destructor Documentation

mlpack::kmeans::MaxVarianceNewCluster::MaxVarianceNewCluster

(

)

[inline]

Default constructor required by EmptyClusterPolicy.

Definition at line 40 of file max_variance_new_cluster.hpp.

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Member Function Documentation

template<typename MatType >

static size_t mlpack::kmeans::MaxVarianceNewCluster::EmptyCluster	(	const MatType &	data,
		const size_t	emptyCluster,
		const MatType &	centroids,
		arma::Col< size_t > &	clusterCounts,
		arma::Col< size_t > &	assignments
	)			[inline, static]

Take the point furthest from the centroid of the cluster with maximum variance to be a new cluster.

Template Parameters:

MatType

Type of data (arma::mat or arma::sp_mat).

Parameters:

	data	Dataset on which clustering is being performed.
	emptyCluster	Index of cluster which is empty.
	centroids	Centroids of each cluster (one per column).
	clusterCounts	Number of points in each cluster.
	assignments	Cluster assignments of each point.

Returns:

Number of points changed.

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

• src/mlpack/methods/kmeans/max_variance_new_cluster.hpp