What is Silhouette Score?
Silhouette Score compares the distance of observations to the centroids of the clusters they are assigned to against that to the centroids of other clusters in an algorithm like K-Means.
Silhouette Score compares the distance of observations to the centroids of the clusters they are assigned to against that to the centroids of other clusters in an algorithm like K-Means.
Since there are no labels associated with the observations in unsupervised learning, there is no direct error metric that can be applied
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