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What does the Davies-Bouldin Index value indicate when it is close to zero?

medium📝 Conceptual Q5 of 15
SciPy - Clustering and Distance
What does the Davies-Bouldin Index value indicate when it is close to zero?
AClusters are well separated and compact
BClusters are overlapping heavily
CClusters have many outliers
DClusters have unequal sizes
Step-by-Step Solution
Solution:
  1. Step 1: Recall Davies-Bouldin Index meaning

    Lower Davies-Bouldin Index means clusters are compact and well separated.
  2. Step 2: Interpret value close to zero

    A value near zero indicates very good clustering quality.
  3. Final Answer:

    Clusters are well separated and compact -> Option A
  4. Quick Check:

    Low Davies-Bouldin = D [OK]
Quick Trick: Lower Davies-Bouldin means better clusters [OK]
Common Mistakes:
  • Thinking low value means overlapping clusters
  • Confusing with silhouette score scale
  • Assuming it measures outliers

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