pycrostates.metrics.silhouette_score

pycrostates.metrics.silhouette_score(cluster)

Compute the mean Silhouette Coefficient.

This function computes the Silhouette Coefficient[1] with sklearn.metrics.silhouette_score() from a fitted Clustering instance.

Parameters:

clusterCluster

Fitted clustering algorithm from which to compute score. For more details about current clustering implementations, check the Clustering section of the documentation.

Returns:

silhouettefloat

The mean Silhouette Coefficient.

Notes

For more details regarding the implementation, please refer to sklearn.metrics.silhouette_score(). This proxy function uses metric="precomputed" with the absolute spatial correlation for distance computations.

References

[1]

Peter J. Rousseeuw. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20:53–65, 1987. doi:10.1016/0377-0427(87)90125-7.

Examples using pycrostates.metrics.silhouette_score

Evaluating clustering fits

Evaluating clustering fits