DOC description for Calinski-Harabasz Index
@@ -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
