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book.cls
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JG1VPP committed Nov 11, 2024
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2 changes: 1 addition & 1 deletion books/book.cls
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Expand Up @@ -279,7 +279,7 @@
\NewDocumentCommand\dprod{m m}{#1 \cdot #2}
\NewDocumentCommand\iprod{m m}{\left\langle #1,#2\right\rangle}
\NewDocumentCommand\pdiff{m m}{\frac{\partial #1}{\partial #2}}
\NewDocumentCommand\trans{m}{{}^t#1}
\NewDocumentCommand\trans{m}{#1^\top}
\NewDocumentCommand\trace{m}{\mathrm{tr}\left(#1\right)}
\NewDocumentCommand\where{}{\enspace\mathrm{where}\enspace}
\NewDocumentCommand\normal{m m m}{\frac{\hfill #3}{\sum_{#1}^{#2} #3}}
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2 changes: 1 addition & 1 deletion books/mine.tex
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Expand Up @@ -1539,7 +1539,7 @@ \chapter{混合正規分布と最尤推定\label{chap:gmm}}
\centering
\subfloat[cluster map.\label{fig:gmm:class}]{\includegraphics[width=.5\linewidth]{images/gmm.truth.eps}}
\subfloat[density map.\label{fig:gmm:dense}]{\includegraphics[width=.5\linewidth]{images/gmm.dense.eps}}
\caption{Ground-truth data of a Gaussian mixture model.\label{fig:gmm}}
\caption{ground-truth data of a Gaussian mixture model.\label{fig:gmm}}
\end{figure}

\subfigref{gmm}{class}の分類問題を、\textbf{クラスタリング}と呼ぶ。推定対象の値が潜在変数な点を指して、教師なし学習とも呼ばれる。
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