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Extensions to Hierarchical Clustering

  • Major weakness of agglomerative clustering methods
    • Can never undo what was done previously
    • Do not scale well: time complexity of at least O(n^2), where n is the number of total objects
  • Integration of hierarchical & distance-based clustering
    • BIRCH (1996): uses CF-tree and incrementally adjusts the quality of sub-clusters
    • CHAMELEON (1999): hierarchical clustering using dynamic modeling

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