mlpack  2.2.5
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Pages
Namespaces | Typedefs
typedef.hpp File Reference
Include dependency graph for typedef.hpp:
This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Namespaces

 mlpack
 Linear algebra utility functions, generally performed on matrices or vectors.
 
 mlpack::neighbor
 Neighbor-search routines.
 

Typedefs

typedef NeighborSearch
< FurthestNeighborSort,
metric::EuclideanDistance > 
AllkFN
 
typedef NeighborSearch
< NearestNeighborSort,
metric::EuclideanDistance > 
AllkNN
 
template<template< typename TreeMetricType, typename TreeStatType, typename TreeMatType > class TreeType = tree::SPTree>
using DefeatistKNN = NeighborSearch< NearestNeighborSort, metric::EuclideanDistance, arma::mat, TreeType, TreeType< metric::EuclideanDistance, NeighborSearchStat< NearestNeighborSort >, arma::mat >::template DefeatistDualTreeTraverser, TreeType< metric::EuclideanDistance, NeighborSearchStat< NearestNeighborSort >, arma::mat >::template DefeatistSingleTreeTraverser >
 The DefeatistKNN class is the k-nearest-neighbors method considering defeatist search. More...
 
typedef NeighborSearch
< FurthestNeighborSort,
metric::EuclideanDistance > 
KFN
 The KFN class is the k-furthest-neighbors method. More...
 
typedef NeighborSearch
< NearestNeighborSort,
metric::EuclideanDistance > 
KNN
 The KNN class is the k-nearest-neighbors method. More...
 
typedef DefeatistKNN
< tree::SPTree > 
SpillKNN
 The SpillKNN class is the k-nearest-neighbors method considering defeatist search on SPTree. More...