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DOC Fix description for Calinski-Harabasz Index in doc/modules/clustering.rst #19167

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2 changes: 1 addition & 1 deletion doc/modules/clustering.rst
Original file line number Diff line number Diff line change
Expand Up @@ -1737,7 +1737,7 @@ Ratio Criterion - can be used to evaluate the model, where a higher
Calinski-Harabasz score relates to a model with better defined clusters.

The index is the ratio of the sum of between-clusters dispersion and of
inter-cluster dispersion for all clusters (where dispersion is defined as the
within-cluster dispersion for all clusters (where dispersion is defined as the
sum of distances squared):

>>> from sklearn import metrics
Expand Down