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Partitioning Algorithms a Partitioning method: Construct a partition of n data into a set of k clusters a Given: a set of data and the number k Find: a partition of K clusters that optimizes the chosen partitioning criterion ◆ Globally optimal a Intractable for many objective functions a Ergo, exhaustively enumerate all partitions e Effective heuristic methods: K-means and K- medoids algorithmsPartitioning Algorithms ◼ Partitioning method: Construct a partition of n data into a set of K clusters ◼ Given: a set of data and the number K ◼ Find: a partition of K clusters that optimizes the chosen partitioning criterion ◆ Globally optimal  Intractable for many objective functions  Ergo, exhaustively enumerate all partitions ◆ Effective heuristic methods: K-means and K￾medoids algorithms
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