What does the silhouette score measure in clustering?

What does the silhouette score measure in clustering?

Step 1: Understand that clustering is a way to group similar items together.
Step 2: Each item in a cluster should be more similar to other items in the same cluster than to items in different clusters.
Step 3: The silhouette score is a number that helps us measure this similarity.
Step 4: A high silhouette score means that an item is well matched to its own cluster and poorly matched to neighboring clusters.
Step 5: A low silhouette score means that an item may be in the wrong cluster or is not well separated from other clusters.

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