mlpack_kmeans_MaxVarianceNewCluster (3)

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 ¢roids, 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.

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.

mlpack::kmeans::MaxVarianceNewCluster::MaxVarianceNewCluster ()\fC [inline]\fP

Default constructor required by EmptyClusterPolicy.

Definition at line 40 of file max_variance_new_cluster.hpp.

template<typename MatType > static size_t mlpack::kmeans::MaxVarianceNewCluster::EmptyCluster (const MatType &data, const size_temptyCluster, const MatType ¢roids, arma::Col< size_t > &clusterCounts, arma::Col< size_t > &assignments)\fC [static]\fP

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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