sklearn.metrics.calinski_harabasz_score
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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 between the within-cluster dispersion and the between-cluster dispersion.
Read more in the User Guide.
- Parameters
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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.
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- Returns
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scorefloat -
The resulting Calinski-Harabasz score.
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References
© 2007–2020 The scikit-learn developers
Licensed under the 3-clause BSD License.
https://scikit-learn.org/0.24/modules/generated/sklearn.metrics.calinski_harabasz_score.html