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    DIS
    2006
    Springer
    240views Theoretical Computer Science» more  DIS 2006»
    Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
    14 years 6 months ago
    Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
    Download  www-alg.ist.hokudai.ac.jp
    Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
    Jan Poland, Thomas Zeugmann
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