sklearn.metrics.calinski_harabaz_score — scikit-learn 0.20.4 documentation (original) (raw)
sklearn.metrics. calinski_harabaz_score(X, labels)[source]¶
Compute the Calinski and Harabaz score.
It is also known as the Variance Ratio Criterion.
The score is defined as ratio between the within-cluster dispersion and the between-cluster dispersion.
Read more in the User Guide.
| Parameters: | X : array-like, shape (n_samples, n_features) List of n_features-dimensional data points. Each row corresponds to a single data point. labels : array-like, shape (n_samples,) Predicted labels for each sample. |
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| Returns: | score : float The resulting Calinski-Harabaz score. |
References
| [1] | T. Calinski and J. Harabasz, 1974. “A dendrite method for cluster analysis”. Communications in Statistics |
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