Silhouette Score Interpretation

Easy

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You compute silhouette scores for K=2 through K=10 in a clustering task. K=3 yields a score of 0.72, while K=7 yields 0.41. What does this suggest?

Multiple Choice

K=7 is better because more clusters capture more detail K=3 produces better-defined clusters with higher intra-cluster cohesion and inter-cluster separation Silhouette scores cannot be compared across different values of K Both values indicate poor clustering since neither score is above 0.9

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Silhouette Score Interpretation

Multiple Choice

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