Which of the following methods can be used to evaluate the quality of clusters formed by K-means?
Correct Answer: Silhouette score and Davies-Bouldin index
- 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.
No concepts available.
