mlpack::neighbor Namespace Reference

Neighbor-search routines. More...

Classes
class	FurthestNeighborSort
	This class implements the necessary methods for the SortPolicy template parameter of the NeighborSearch class. More...
class	LSHSearch
	The LSHSearch class -- This class builds a hash on the reference set and uses this hash to compute the distance-approximate nearest-neighbors of the given queries. More...
class	NearestNeighborSort
	This class implements the necessary methods for the SortPolicy template parameter of the NeighborSearch class. More...
class	NeighborSearch
	The NeighborSearch class is a template class for performing distance-based neighbor searches. More...
class	NeighborSearchRules
class	QueryStat
	Extra data for each node in the tree. More...
Typedefs
typedef NeighborSearch < FurthestNeighborSort, metric::SquaredEuclideanDistance >	AllkFN
	The AllkFN class is the all-k-furthest-neighbors method.
typedef NeighborSearch < NearestNeighborSort, metric::SquaredEuclideanDistance >	AllkNN
	The AllkNN class is the all-k-nearest-neighbors method.

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Detailed Description

Neighbor-search routines.

These include all-nearest-neighbors and all-furthest-neighbors searches.

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Typedef Documentation

typedef NeighborSearch<FurthestNeighborSort, metric::SquaredEuclideanDistance> mlpack::neighbor::AllkFN

The AllkFN class is the all-k-furthest-neighbors method.

It returns squared L2 distances (squared Euclidean distances) for each of the k furthest neighbors. Squared distances are used because they are slightly faster than non-squared distances (they have one fewer call to sqrt()).

Definition at line 54 of file typedef.hpp.

typedef NeighborSearch<NearestNeighborSort, metric::SquaredEuclideanDistance> mlpack::neighbor::AllkNN

The AllkNN class is the all-k-nearest-neighbors method.

It returns squared L2 distances (squared Euclidean distances) for each of the k nearest neighbors. Squared distances are used because they are slightly faster than non-squared distances (they have one fewer call to sqrt()).

Definition at line 45 of file typedef.hpp.