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Fixed documentation: corrected parameter names
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@@ -17,7 +17,7 @@ Finds centers of clusters and groups input samples around the clusters.
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:param samples: Floating-point matrix of input samples, one row per sample.
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:param clusterCount: Number of clusters to split the set by.
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:param cluster_count: Number of clusters to split the set by.
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:param labels: Input/output integer array that stores the cluster indices for every sample.
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@@ -40,7 +40,7 @@ Finds centers of clusters and groups input samples around the clusters.
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:param compactness: The returned value that is described below.
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The function ``kmeans`` implements a k-means algorithm that finds the
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centers of ``clusterCount`` clusters and groups the input samples
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centers of ``cluster_count`` clusters and groups the input samples
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around the clusters. As an output,
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:math:`\texttt{labels}_i` contains a 0-based cluster index for
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the sample stored in the
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