cvflann::HierarchicalClusteringIndex< Distance > Class Template Reference

#include <hierarchical_clustering_index.h>

Inheritance diagram for cvflann::HierarchicalClusteringIndex< Distance >:

Public Types
typedef Distance::ElementType	ElementType
typedef Distance::ResultType	DistanceType

Public Member Functions
	HierarchicalClusteringIndex (const Matrix< ElementType > &inputData, const IndexParams &index_params=HierarchicalClusteringIndexParams(), Distance d=Distance())
	HierarchicalClusteringIndex (const HierarchicalClusteringIndex &)
HierarchicalClusteringIndex &	operator= (const HierarchicalClusteringIndex &)
virtual	~HierarchicalClusteringIndex ()
void	free_elements ()
size_t	size () const
size_t	veclen () const
int	usedMemory () const
void	addIndex (const Matrix< ElementType > &, const Matrix< ElementType > &)
void	buildIndex ()
flann_algorithm_t	getType () const
void	saveIndex (FILE *stream)
	Saves the index to a stream. More...
void	loadIndex (FILE *stream)
	Loads the index from a stream. More...
void	findNeighbors (ResultSet< DistanceType > &result, const ElementType *vec, const SearchParams &searchParams)
IndexParams	getParameters () const
Public Member Functions inherited from cvflann::NNIndex< Distance >
virtual	~NNIndex ()
virtual void	knnSearch (const Matrix< ElementType > &queries, Matrix< int > &indices, Matrix< DistanceType > &dists, int knn, const SearchParams &params)
	Perform k-nearest neighbor search. More...
virtual int	radiusSearch (const Matrix< ElementType > &query, Matrix< int > &indices, Matrix< DistanceType > &dists, float radius, const SearchParams &params)
	Perform radius search. More...

Detailed Description

template<typename Distance>
class cvflann::HierarchicalClusteringIndex< Distance >

Hierarchical index

Contains a tree constructed through a hierarchical clustering and other information for indexing a set of points for nearest-neighbour matching.

Member Typedef Documentation

template<typename Distance>

typedef Distance::ResultType cvflann::HierarchicalClusteringIndex< Distance >::DistanceType

template<typename Distance>

typedef Distance::ElementType cvflann::HierarchicalClusteringIndex< Distance >::ElementType

Constructor & Destructor Documentation

template<typename Distance>

cvflann::HierarchicalClusteringIndex< Distance >::HierarchicalClusteringIndex ( const Matrix< ElementType > &  inputData, const IndexParams &  index_params = HierarchicalClusteringIndexParams(), Distance  d = Distance()  )

inline

Index constructor

Params: inputData = dataset with the input features params = parameters passed to the hierarchical k-means algorithm

template<typename Distance>

cvflann::HierarchicalClusteringIndex< Distance >::HierarchicalClusteringIndex

(

const HierarchicalClusteringIndex< Distance > &

)

template<typename Distance>

virtual cvflann::HierarchicalClusteringIndex< Distance >::~HierarchicalClusteringIndex ( )

inlinevirtual

Index destructor.

Release the memory used by the index.

Member Function Documentation

template<typename Distance>

void cvflann::HierarchicalClusteringIndex< Distance >::addIndex ( const Matrix< ElementType > &  , const Matrix< ElementType > &    )

inlinevirtual

Dummy implementation for other algorithms of addable indexes after that.

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

void cvflann::HierarchicalClusteringIndex< Distance >::buildIndex ( )

inlinevirtual

Builds the index

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

void cvflann::HierarchicalClusteringIndex< Distance >::findNeighbors ( ResultSet< DistanceType > &  result, const ElementType *  vec, const SearchParams &  searchParams  )

inlinevirtual

Find set of nearest neighbors to vec. Their indices are stored inside the result object.

Params: result = the result object in which the indices of the nearest-neighbors are stored vec = the vector for which to search the nearest neighbors searchParams = parameters that influence the search algorithm (checks)

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

void cvflann::HierarchicalClusteringIndex< Distance >::free_elements ( )

inline

Release the inner elements of indices[]

template<typename Distance>

IndexParams cvflann::HierarchicalClusteringIndex< Distance >::getParameters ( ) const

inlinevirtual

Returns

The index parameters

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

flann_algorithm_t cvflann::HierarchicalClusteringIndex< Distance >::getType ( ) const

inlinevirtual

Returns

The index type (kdtree, kmeans,...)

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

void cvflann::HierarchicalClusteringIndex< Distance >::loadIndex ( FILE *  stream )

inlinevirtual

Loads the index from a stream.

Parameters

stream

The stream from which the index is loaded

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

HierarchicalClusteringIndex& cvflann::HierarchicalClusteringIndex< Distance >::operator=

(

const HierarchicalClusteringIndex< Distance > &

)

template<typename Distance>

void cvflann::HierarchicalClusteringIndex< Distance >::saveIndex ( FILE *  stream )

inlinevirtual

Saves the index to a stream.

Parameters

stream

The stream to save the index to

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

size_t cvflann::HierarchicalClusteringIndex< Distance >::size ( ) const

inlinevirtual

Returns size of index.

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

int cvflann::HierarchicalClusteringIndex< Distance >::usedMemory ( ) const

inlinevirtual

Computes the inde memory usage Returns: memory used by the index

Implements cvflann::NNIndex< Distance >.

template<typename Distance>

size_t cvflann::HierarchicalClusteringIndex< Distance >::veclen ( ) const

inlinevirtual

Returns the length of an index feature.

Implements cvflann::NNIndex< Distance >.

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

• hierarchical_clustering_index.h