Classes
struct	AutotunedIndexParams

struct	CompositeIndexParams

struct	CvType

struct	CvType< char >

struct	CvType< double >

struct	CvType< float >

struct	CvType< int >

struct	CvType< short >

struct	CvType< unsigned char >

struct	CvType< unsigned short >

class	GenericIndex
	The FLANN nearest neighbor index class. This class is templated with the type of elements for which the index is built. More...

struct	HierarchicalClusteringIndexParams

class	Index

class	Index_

struct	IndexParams

struct	KDTreeIndexParams

struct	KMeansIndexParams

struct	LinearIndexParams

struct	LshIndexParams

struct	SavedIndexParams

struct	SearchParams

Enumerations
enum	FlannIndexType { FLANN_INDEX_TYPE_8U = CV_8U, FLANN_INDEX_TYPE_8S = CV_8S, FLANN_INDEX_TYPE_16U = CV_16U, FLANN_INDEX_TYPE_16S = CV_16S, FLANN_INDEX_TYPE_32S = CV_32S, FLANN_INDEX_TYPE_32F = CV_32F, FLANN_INDEX_TYPE_64F = CV_64F, FLANN_INDEX_TYPE_STRING, FLANN_INDEX_TYPE_BOOL, FLANN_INDEX_TYPE_ALGORITHM, LAST_VALUE_FLANN_INDEX_TYPE = FLANN_INDEX_TYPE_ALGORITHM }

Functions
template<typename Distance >
int	hierarchicalClustering (const Mat &features, Mat &centers, const ::cvflann::KMeansIndexParams &params, Distance d=Distance())
	Clusters features using hierarchical k-means algorithm.

template<typename ELEM_TYPE , typename DIST_TYPE >
int	hierarchicalClustering (const Mat &features, Mat &centers, const ::cvflann::KMeansIndexParams &params)

Enumeration Type Documentation

Classes