- sklearn.metrics.calinski_harabasz_score(X, labels)[source]¶
Compute the Calinski and Harabasz score.
It is also known as the Variance Ratio Criterion.
The score is defined as ratio of the sum of between-cluster dispersion and of within-cluster dispersion.
Read more in the User Guide.
- Xarray-like of shape (n_samples, n_features)
A list of
n_features-dimensional data points. Each row corresponds to a single data point.
- labelsarray-like of shape (n_samples,)
Predicted labels for each sample.
The resulting Calinski-Harabasz score.