The video discusses metrics clustering performance evaluation from Scikit-learn in Python.

Timeline
(no coding)

00:00 - Outline of video
01:17 - Rand Index (RI), Adjusted Rand Index (ARI)
04:43 - Mutual Information (MI) based scores, Adjusted Mutual Information index (AMI)
06:04 - Homogeneity, Completeness and V-measure score
11:48 - Confusion matrix: What is True Positive (TP), True Negative (TN), False Positive (FP), False Negative (FN)?
13:34 - Fowlkes-Mallows scores
14:27 - Silhouette coefficient
15:56 - Calinski-Harabasz Index
17:04 - Davies-Bouldin Index
18:07 - Contingency matrix
19:33 - Pair confusion matrix
21:13 - Ending notes

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