Which of the following methods can be used to evaluate the quality of clusters formed by K-means?

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Q: Which of the following methods can be used to evaluate the quality of clusters formed by K-means?

Solution: Both the Silhouette score and the Davies-Bouldin index are methods used to evaluate the quality of clusters formed by K-means.

Steps: 7

Step 1: Understand that K-means is a method used to group data into clusters.
Step 2: Know that after clustering, we need to check how good the clusters are.
Step 3: Learn about the Silhouette score, which measures how similar an object is to its own cluster compared to other clusters.
Step 4: Understand that a higher Silhouette score means better-defined clusters.
Step 5: Learn about the Davies-Bouldin index, which compares the distance between clusters to the size of the clusters.
Step 6: Know that a lower Davies-Bouldin index indicates better clustering quality.
Step 7: Conclude that both the Silhouette score and the Davies-Bouldin index can be used to evaluate the quality of clusters formed by K-means.