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Fifth IEEE International Conference on Data Mining (ICDM'05)
A Levelwise Search Algorithm for Interesting Subspace Clusters
Houston, Texas
November 27-November 30
ISBN: 0-7695-2278-5
Haiyun Bian, University of Cincinnati
Raj Bhatnagar, University of Cincinnati
We present a levelwise search algorithm for finding subspace clusters in high dimensional data satisfying various properties besides the commonly used minimum density property. A set of such properties are summarized and a user can choose any of these properties. A lattice is built with all the discovered clusters which enables further analysis and discovery of useful knowledge about the clusters and their inter-relationships.
Citation:
Haiyun Bian, Raj Bhatnagar, "A Levelwise Search Algorithm for Interesting Subspace Clusters," icdm, pp.573-576, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005
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