Cluster Validation - Cohesion & Separation (Python review)
Compactness or cluster cohesion: Measures how close are the objects within the same cluster. A lower within-cluster variation is an indicator of good compactness (i.e., a good clustering). The different indices for evaluating the compactness of clusters are base on distance measures such as the cluster-wise within average/median distances between observations.
Separation: Measures how well-separated a cluster is from other clusters. The indices used as separation measures include:
distances between cluster centers
the pairwise minimum distances between objects in different clusters #Cohesion #Separation #DataScience
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🌐 • Machine Learning | Cohesion & Separation (Conceptual video)
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