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...

#include <max_variance_new_cluster.hpp>

Public Member Functions
	MaxVarianceNewCluster ()
	Default constructor required by EmptyClusterPolicy.
template<typename MetricType , typename MatType >
void	EmptyCluster (const MatType &data, const size_t emptyCluster, const arma::mat &oldCentroids, arma::mat &newCentroids, arma::Col< size_t > &clusterCounts, MetricType &metric, const size_t iteration)
	Take the point furthest from the centroid of the cluster with maximum variance to be a new cluster. More...
template<typename Archive >
void	serialize (Archive &ar, const uint32_t version)
	Serialize the object.

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.

Member Function Documentation

EmptyCluster()

template<typename MetricType , typename MatType >

void mlpack::kmeans::MaxVarianceNewCluster::EmptyCluster	(	const MatType &	data,
		const size_t	emptyCluster,
		const arma::mat &	oldCentroids,
		arma::mat &	newCentroids,
		arma::Col< size_t > &	clusterCounts,
		MetricType &	metric,
		const size_t	iteration
	)

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

Take action about an empty cluster.

Template Parameters

MatType

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

Parameters

data	Dataset on which clustering is being performed.
emptyCluster	Index of cluster which is empty.
oldCentroids	Centroids of each cluster (one per column) at the start of the iteration.
newCentroids	Centroids of each cluster (one per column) at the end of the iteration.
clusterCounts	Number of points in each cluster.
metric	The Metric to use.
iteration	Number of iteration.

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

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