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Differentiate between k-means clustering and hierarchical clustering?
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Answer / Satyapal Singh
K-means clustering is a type of hard clustering that aims to find K distinct groups where each data point belongs exclusively to one group. Hierarchical clustering, on the other hand, creates a hierarchy of clusters by merging or splitting them. It can be either agglomerative (bottom-up) or divisive (top-down).
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