#include <hierarchical_clustering_index.h>
 
  
 | 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 ¶ms) | 
| Perform k-nearest neighbor search.  More... | |
| virtual int | radiusSearch (const Matrix< ElementType > &query, Matrix< int > &indices, Matrix< DistanceType > &dists, float radius, const SearchParams ¶ms) | 
| Perform radius search.  More... | |
Hierarchical index
Contains a tree constructed through a hierarchical clustering and other information for indexing a set of points for nearest-neighbour matching.
| typedef Distance::ResultType cvflann::HierarchicalClusteringIndex< Distance >::DistanceType | 
| typedef Distance::ElementType cvflann::HierarchicalClusteringIndex< Distance >::ElementType | 
| 
 | inline | 
Index constructor
Params: inputData = dataset with the input features params = parameters passed to the hierarchical k-means algorithm
| cvflann::HierarchicalClusteringIndex< Distance >::HierarchicalClusteringIndex | ( | const HierarchicalClusteringIndex< Distance > & | ) | 
| 
 | inlinevirtual | 
Index destructor.
Release the memory used by the index.
| 
 | inlinevirtual | 
Dummy implementation for other algorithms of addable indexes after that.
Implements cvflann::NNIndex< Distance >.
| 
 | inlinevirtual | 
Builds the index
Implements cvflann::NNIndex< Distance >.
| 
 | 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 >.
| 
 | inline | 
Release the inner elements of indices[]
| 
 | inlinevirtual | 
Implements cvflann::NNIndex< Distance >.
| 
 | inlinevirtual | 
Implements cvflann::NNIndex< Distance >.
| 
 | inlinevirtual | 
Loads the index from a stream.
| stream | The stream from which the index is loaded | 
Implements cvflann::NNIndex< Distance >.
| HierarchicalClusteringIndex& cvflann::HierarchicalClusteringIndex< Distance >::operator= | ( | const HierarchicalClusteringIndex< Distance > & | ) | 
| 
 | inlinevirtual | 
Saves the index to a stream.
| stream | The stream to save the index to | 
Implements cvflann::NNIndex< Distance >.
| 
 | inlinevirtual | 
Returns size of index.
Implements cvflann::NNIndex< Distance >.
| 
 | inlinevirtual | 
Computes the inde memory usage Returns: memory used by the index
Implements cvflann::NNIndex< Distance >.
| 
 | inlinevirtual | 
Returns the length of an index feature.
Implements cvflann::NNIndex< Distance >.