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Module 5: Clustering

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A dataset contains two elongated, non-spherical clusters. Which method is generally more appropriate than standard K-means? (i) K-means (ii) Linear regression (iii) Density-based clustering (iv) Naive Bayes

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Answer: (iii) Density-based clustering

Density-based methods such as DBSCAN can discover irregularly shaped clusters and label sparse points as noise. K-means works best for compact, roughly spherical clusters under Euclidean distance.

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