\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/rann/ra\+\_\+search.hpp File Reference}
\label{ra__search_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/rann/ra\+\_\+search.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/rann/ra\+\_\+search.\+hpp}}
Include dependency graph for ra\+\_\+search.\+hpp\+:
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ R\+A\+Search$<$ Sort\+Policy, Metric\+Type, Mat\+Type, Tree\+Type $>$}
\begin{DoxyCompactList}\small\item\em The \doxyref{R\+A\+Search}{p.}{classmlpack_1_1neighbor_1_1RASearch} class\+: This class provides a generic manner to perform rank-\/approximate search via random-\/sampling. \end{DoxyCompactList}\item 
class \textbf{ Train\+Visitor$<$ Sort\+Policy $>$}
\begin{DoxyCompactList}\small\item\em \doxyref{Train\+Visitor}{p.}{classmlpack_1_1neighbor_1_1TrainVisitor} sets the reference set to a new reference set on the given N\+S\+Type. \end{DoxyCompactList}\end{DoxyCompactItemize}
\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
 \textbf{ mlpack}
\begin{DoxyCompactList}\small\item\em Linear algebra utility functions, generally performed on matrices or vectors. \end{DoxyCompactList}\item 
 \textbf{ mlpack\+::neighbor}
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\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Parikshit Ram
\end{DoxyAuthor}
Defines the R\+A\+Search class, which performs an abstract rank-\/approximate nearest/farthest neighbor query on two datasets.

The details of this method can be found in the following paper\+:


\begin{DoxyCode}
@inproceedings\{ram2009rank,
  title=\{\{Rank-Approximate Nearest Neighbor Search: Retaining Meaning and
      Speed in High Dimensions\}\},
  author=\{\{Ram, P. and Lee, D. and Ouyang, H. and Gray, A. G.\}\},
  booktitle=\{\{Advances of Neural Information Processing Systems\}\},
  year=\{2009\}
\}
\end{DoxyCode}


mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-\/clause B\+SD license. You should have received a copy of the 3-\/clause B\+SD license along with mlpack. If not, see {\tt http\+://www.\+opensource.\+org/licenses/\+B\+S\+D-\/3-\/\+Clause} for more information.