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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.9
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||