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Merge pull request #13045 from LaurentBerger:kmeansdoc
typo in kmeans doc
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@ -2962,7 +2962,7 @@ An example on K-means clustering
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/** @brief Finds centers of clusters and groups input samples around the clusters.
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The function kmeans implements a k-means algorithm that finds the centers of cluster_count clusters
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and groups the input samples around the clusters. As an output, \f$\texttt{labels}_i\f$ contains a
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and groups the input samples around the clusters. As an output, \f$\texttt{bestLabels}_i\f$ contains a
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0-based cluster index for the sample stored in the \f$i^{th}\f$ row of the samples matrix.
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@note
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