Introduction to clustering learning

1.Background

        The "intra-cluster similarity" of the clustering results is high and the "inter-cluster similarity" is low, that is, samples in the same cluster are as similar to each other as possible, and samples in different clusters are as different as possible.

2. Performance metrics

2.1 External indicators

(1)Jaccard coefficient

(2) FM index

(3) Rand index

2.2 Internal indicators

(1) DB index

(2)Dunn index

3. Distance calculation

(1) Euclidean distance

(2)Manhattan distance

(3) Minkowski distance

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Origin blog.csdn.net/MusicDancing/article/details/129730147