rtflann::KMeansppCenterChooser< Distance > Class Template Reference

#include <center_chooser.h>

Inheritance diagram for rtflann::KMeansppCenterChooser< Distance >:

Public Types
typedef Distance::ResultType	DistanceType
typedef Distance::ElementType	ElementType
Public Types inherited from rtflann::CenterChooser< Distance >
typedef Distance::ResultType	DistanceType
typedef Distance::ElementType	ElementType

Public Member Functions
	KMeansppCenterChooser (const Distance &distance, const std::vector< ElementType * > &points)
void	operator() (int k, int *indices, int indices_length, int *centers, int &centers_length)
Public Member Functions inherited from rtflann::CenterChooser< Distance >
	CenterChooser (const Distance &distance, const std::vector< ElementType * > &points)
void	setDataSize (size_t cols)
virtual	~CenterChooser ()

Additional Inherited Members
Protected Attributes inherited from rtflann::CenterChooser< Distance >
size_t	cols_
const Distance	distance_
const std::vector< ElementType * > &	points_

Detailed Description

template<typename Distance>
class rtflann::KMeansppCenterChooser< Distance >

Chooses the initial centers using the algorithm proposed in the KMeans++ paper: Arthur, David; Vassilvitskii, Sergei - k-means++: The Advantages of Careful Seeding

Definition at line 211 of file center_chooser.h.

Member Typedef Documentation

template<typename Distance>

typedef Distance::ResultType rtflann::KMeansppCenterChooser< Distance >::DistanceType

Definition at line 215 of file center_chooser.h.

template<typename Distance>

typedef Distance::ElementType rtflann::KMeansppCenterChooser< Distance >::ElementType

Definition at line 214 of file center_chooser.h.

Constructor & Destructor Documentation

template<typename Distance>

rtflann::KMeansppCenterChooser< Distance >::KMeansppCenterChooser ( const Distance &  distance, const std::vector< ElementType * > &  points  )

inline

Definition at line 221 of file center_chooser.h.

Member Function Documentation

template<typename Distance>

void rtflann::KMeansppCenterChooser< Distance >::operator() ( int  k, int *  indices, int  indices_length, int *  centers, int &  centers_length  )

inlinevirtual

Chooses cluster centers

Parameters

k	number of centers to choose
indices	indices of points to choose the centers from
indices_length	length of indices
centers	indices of chosen centers
centers_length	length of centers array

Implements rtflann::CenterChooser< Distance >.

Definition at line 224 of file center_chooser.h.

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

• center_chooser.h