Finding the Optimal Subspace for Clustering

    ICDM, pp. 130-139, 2014.

    Cited by: 5|Bibtex|Views15|Links
    EI
    Keywords:
    clustering algorithmsmatrix decompositionprincipal component analysisnoise

    Abstract:

    The ability to simplify and categorize things is one of the most important elements of human thought, understanding, and learning. The corresponding explorative data analysis techniques--dimensionality reduction and clustering--have initially been studied by our community as two separate research topics. Later algorithms like CLIQUE, ORCL...More

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