Top 5 Clustering Techniques in Data Science K-Means – Partitions data into K clusters by minimizing variance. Hierarchical Clustering – Builds a hierarchy by merging/splitting groups. DBSCAN – Forms clusters by density, detects outliers. Mean Shift –

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