cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE > Member List

This is the complete list of members for cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >, including all inherited members.

branching	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
BranchSt typedef	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
buildIndex()	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
cb_index	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
centersAlgFunction typedef	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
chooseCenters	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
chooseCentersGonzales(int k, int *indices, int indices_length, int *centers, int &centers_length)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
chooseCentersKMeanspp(int k, int *indices, int indices_length, int *centers, int &centers_length)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
chooseCentersRandom(int k, int *indices, int indices_length, int *centers, int &centers_length)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
computeClustering(KMeansNode node, int *indices, int indices_length, int branching, int level)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
computeNodeStatistics(KMeansNode node, int *indices, int indices_length)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
dataset	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
exploreNodeBranches(KMeansNode node, const ELEM_TYPE *q, float *domain_distances, Heap< BranchSt > *heap)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
findExactNN(KMeansNode node, ResultSet< ELEM_TYPE > &result, const ELEM_TYPE *vec)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
findNeighbors(ResultSet< ELEM_TYPE > &result, const ELEM_TYPE *vec, const SearchParams &searchParams)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
findNN(KMeansNode node, ResultSet< ELEM_TYPE > &result, const ELEM_TYPE *vec, int &checks, int maxChecks, Heap< BranchSt > *heap)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
free_centers(KMeansNode node)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
getCenterOrdering(KMeansNode node, const ELEM_TYPE *q, int *sort_indices)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
getClusterCenters(Matrix< DIST_TYPE > &centers)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline]
getDistanceToBorder(float *p, float *c, float *q)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
getMinVarianceClusters(KMeansNode root, KMeansNode *clusters, int clusters_length, float &varianceValue)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
getParameters() const	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
getType() const	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
index_params	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
indices	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
KMeansIndex(const Matrix< ELEM_TYPE > &inputData, const KMeansIndexParams &params=KMeansIndexParams())	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline]
KMeansNode typedef	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
load_tree(FILE *stream, KMeansNode &node)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
loadIndex(FILE *stream)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
max_iter	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
memoryCounter	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
pool	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
root	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
save_tree(FILE *stream, KMeansNode node)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, private]
saveIndex(FILE *stream)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
set_cb_index(float index)	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline]
size() const	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
size_	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
usedMemory() const	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
veclen() const	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
veclen_	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[private]
~KMeansIndex()	cvflann::KMeansIndex< ELEM_TYPE, DIST_TYPE >	[inline, virtual]
~NNIndex()	cvflann::NNIndex< ELEM_TYPE >	[inline, virtual]