Robust, Complete, and Efficient Correlation Clustering

    SDM, pp. 413-418, 2007.

    Cited by: 65|Bibtex|Views24|Links
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    Abstract:

    Correlation clustering aims at the detection of data points that appear as hyperplanes in the data space and, thus, exhibit common correlations between differ- ent subsets of features. Recently proposed methods for correlation clustering usually suffer from several severe drawbacks including poor robustness against noise or parameter sett...More

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