In a clustering case study, which metric is often used to evaluate the quality o

In a clustering case study, which metric is often used to evaluate the quality of clusters?

In a clustering case study, which metric is often used to evaluate the quality of clusters?

Step 1: Understand what clustering is. Clustering is a way to group similar items together.
Step 2: Know that we want to check how good these groups (clusters) are.
Step 3: Learn about the Silhouette Score. It is a number that helps us see how well the items are grouped.
Step 4: The Silhouette Score compares how close an item is to its own group versus how close it is to other groups.
Step 5: A higher Silhouette Score means better clustering, as it shows items are well matched to their own group and far from others.

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