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Classes | |
class | mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType > |
The NeighborSearch class is a template class for performing distance-based neighbor searches. More... | |
class | mlpack::neighbor::TrainVisitor< SortPolicy > |
TrainVisitor sets the reference set to a new reference set on the given NSType. More... | |
Namespaces | |
mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
mlpack::neighbor | |
Neighbor-search routines. | |
Enumerations | |
enum | mlpack::neighbor::NeighborSearchMode { mlpack::neighbor::NAIVE_MODE, mlpack::neighbor::SINGLE_TREE_MODE, mlpack::neighbor::DUAL_TREE_MODE, mlpack::neighbor::GREEDY_SINGLE_TREE_MODE } |
NeighborSearchMode represents the different neighbor search modes available. More... | |
Defines the NeighborSearch class, which performs an abstract nearest-neighbor-like query on two datasets.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
Definition in file neighbor_search.hpp.