METRICS
Adjusted/ Unadjusted Rand Index
Silhouette Score.
Normalized Mutual Information (NMI)
Calinski-Harabasz Index
Davies-Bouldin Index
Adjusted/ Unadjusted Rand Index
Silhouette Score.
Normalized Mutual Information (NMI)
Calinski-Harabasz Index
Davies-Bouldin Index
1) Adjusted/ Unadjusted Rand Index:
Given the knowledge of the ground truth class assignments labels_true and our clustering algorithm assignments of the same samples labels_pred, the (adjusted or unadjusted) Rand index is a function that measures the similarity of the two assignments, ignoring permutations.
If C is a ground truth class assignment and K the clustering, let us define and as:
a the number of pairs of elements that are in the same set in C and in the same set in K
b the number of pairs of elements that are in different sets in C and in different sets in K
References:
https://scikit-learn.org/stable/modules/clustering.html#clustering-performance-evaluation
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