sklearn defines a large number of pairwise distance metrics for something like silhouette score: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html
For e.g. it can be initiated with any of these distance metrics:
[‘cityblock’, ‘cosine’, ‘euclidean’, ‘l1’, ‘l2’, ‘manhattan’]
However, say I go to use KElbowVisualizer from yellowbrick. I can pass in silhouette as the metric as follows:
KElbowVisualizer(KMeans(), k=(4, 12), metric='silhouette')
Which I assume uses the silhouette score default distance metric, 'euclidean'. Is it possible to run KElbowVisualizer using a different distance metric than the default?
