main.tex

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\title[DimRed]{\textbf{Introduction to clustering}}
\author[F. Picard]{Ghislain Durif, Laurent Modolo, Franck Picard\\ \vspace{0.5cm}}
\institute[LBMC]{Laboratoire Biologie et Mod\'elisation de la Cellule, CNRS ENS-Lyon}

\date{
    \vspace{1cm}
    \small
    \url{franck.picard@ens-lyon.fr}
}




%\setbeamercolor{background canvas}{bg=gray}

\begin{document}

\begin{frame}
\titlepage
\end{frame}
\AtBeginSection[]
{\begin{frame}<beamer>
    \frametitle{Outline}
    \tableofcontents[currentsection,hideallsubsections]
  \end{frame}
}
\include{introduction}
\include{hclust}
\include{kmeans}
\include{graph_clustering}
\include{postclustering}


\begin{frame}{References}

\begin{itemize}
    \item \url{https://towardsdatascience.com/}
    \item  \href{http://cazencott.info/dotclear/public/lectures/IntroML_Azencott.pdf}{Introduction to Machine Learning (C. Azencott)}
    \item \href{https://www.imo.universite-paris-saclay.fr/~giraud/Orsay/Bookv3.pdf}{Introduction to High Dimensional Statistics (C. Giraud)}
    
\end{itemize}
\begin{small}
\bibliographystyle{plain}
\bibliography{biblio}	
\nocite{PCANatMeth}
\nocite{pmid30617341}
\end{small}
\end{frame}
\end{document}