IMP::statistics::KMeansClustering Class Reference

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Detailed Description

In addition to the information in the Clustering base class, KMeansClustering stores a cluster center for each cluster. The cluster center is a point in the space defined by the embedding.

The representative for each cluster is the member whose location in the embedding is closest to the cluster center.

Inheritance diagram for IMP::statistics::KMeansClustering:

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Public Member Functions
const Ints &	get_cluster (unsigned int i) const
const Floats &	get_cluster_center (unsigned int i) const
int	get_cluster_representative (unsigned int i) const
unsigned int	get_number_of_clusters () const
virtual std::string	get_type_name () const
virtual ::IMP::VersionInfo	get_version_info () const
	KMeansClustering (const std::vector< Ints > &clusters, const std::vector< Floats > &centers, const Ints &reps)
Friends
template<class T >
void	IMP::internal::unref (T *)

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

• point_clustering.h
• statistics/__init__.py