SciPy - Clustering and DistanceWhat does the Davies-Bouldin Index value indicate when it is close to zero?AClusters are well separated and compactBClusters are overlapping heavilyCClusters have many outliersDClusters have unequal sizesCheck Answer
Step-by-Step SolutionSolution:Step 1: Recall Davies-Bouldin Index meaningLower Davies-Bouldin Index means clusters are compact and well separated.Step 2: Interpret value close to zeroA value near zero indicates very good clustering quality.Final Answer:Clusters are well separated and compact -> Option AQuick Check:Low Davies-Bouldin = D [OK]Quick Trick: Lower Davies-Bouldin means better clusters [OK]Common Mistakes:Thinking low value means overlapping clustersConfusing with silhouette score scaleAssuming it measures outliers
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