8000 DOC description for Calinski-Harabasz Index (#19167) · scikit-learn/scikit-learn@5a63f90 · GitHub
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DOC description for Calinski-Harabasz Index (#19167)
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doc/modules/clustering.rst

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@@ -1737,7 +1737,7 @@ Ratio Criterion - can be used to evaluate the model, where a higher
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Calinski-Harabasz score relates to a model with better defined clusters.
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The index is the ratio of the sum of between-clusters dispersion and of
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inter-cluster dispersion for all clusters (where dispersion is defined as the
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within-cluster dispersion for all clusters (where dispersion is defined as the
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sum of distances squared):
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>>> from sklearn import metrics

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