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Subspace Clustering Method (II): Correlation-Based Methods

  • Bi-clustering: Cluster both objects and attributes  simultaneously (treat objs and attrs in symmetric way)
  • Four requirements:
    • Only a small set of objects participate in a cluster
    • A cluster only involves a small number of attributes
    • An object may participate in multiple clusters, or does not participate in any cluster at all
    • An attribute may be involved in multiple clusters, or is not involved in any cluster at all
  • Ex 1. Gene expression or microarray data: a gene sample/condition matrix.
    • Each element in the matrix, a real number, records the expression level of a gene under a specific condition
  • Ex. 2. Clustering customers and products
    • Another bi-clustering problem

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