Lecture
Clustering: Silhouette Coefficient
Description
This lecture covers the concept of the silhouette coefficient, which measures how similar an object is to its own cluster compared to other clusters. It also discusses the importance of using Euclidean distances in certain clustering algorithms, the stability of clusters when data is perturbed, and evaluating clustering results against expert annotations.
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