\section{/var/www/mlpack.ratml.\+org/mlpack.org/\+\_\+src/mlpack-\/git/src/mlpack/methods/pca/pca.hpp File Reference}
\label{pca_8hpp}\index{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/pca/pca.\+hpp@{/var/www/mlpack.\+ratml.\+org/mlpack.\+org/\+\_\+src/mlpack-\/git/src/mlpack/methods/pca/pca.\+hpp}}
Include dependency graph for pca.\+hpp\+:
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\includegraphics[width=350pt]{pca_8hpp__incl}
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\subsection*{Classes}
\begin{DoxyCompactItemize}
\item 
class \textbf{ P\+C\+A$<$ Decomposition\+Policy $>$}
\begin{DoxyCompactList}\small\item\em This class implements principal components analysis (\doxyref{P\+CA}{p.}{classmlpack_1_1pca_1_1PCA}). \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\+::pca}
\end{DoxyCompactItemize}


\subsection{Detailed Description}
\begin{DoxyAuthor}{Author}
Ajinkya Kale 

Ryan Curtin 

Marcus Edel
\end{DoxyAuthor}
Defines the P\+CA class to perform Principal Components Analysis on the specified data set. There are many variations on how to do this, so template parameters allow the selection of different techniques.

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. 