mlpack 3.4.2
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Go to the source code of this file.
Classes | |
class | LSHSearch< SortPolicy, MatType > |
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... | |
Namespaces | |
namespace | mlpack |
Linear algebra utility functions, generally performed on matrices or vectors. | |
namespace | mlpack::neighbor |
Functions | |
BOOST_TEMPLATE_CLASS_VERSION (template< typename SortPolicy >, mlpack::neighbor::LSHSearch< SortPolicy >, 1) | |
Set the serialization version of the LSHSearch class. More... | |
Defines the LSHSearch class, which performs an approximate nearest neighbor search for a queries in a query set over a given dataset using Locality-sensitive hashing with 2-stable distributions.
The details of this method can be found in the following paper:
Additionally, the class implements Multiprobe LSH, which improves approximation results during the search for approximate nearest neighbors. The Multiprobe LSH algorithm was presented in the paper:
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 lsh_search.hpp.
BOOST_TEMPLATE_CLASS_VERSION | ( | template< typename SortPolicy > | , |
mlpack::neighbor::LSHSearch< SortPolicy > | , | ||
1 | |||
) |
Set the serialization version of the LSHSearch class.