Clustering

Results: 2940



#Item
891

MaPle: A Fast Algorithm for Maximal Pattern-based Clustering∗ Jian Pei Xiaoling Zhang Moonjung Cho

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Source URL: www.cs.sfu.ca

- Date: 2004-04-07 00:48:39
    892

    Variable Selection for Model-Based Clustering Adrian E. R AFTERY and Nema D EAN We consider the problem of variable or feature selection for model-based clustering. The problem of comparing two nested subsets of variable

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    Source URL: www.stat.washington.edu

    - Date: 2007-03-19 17:22:58
      893

      Journal of Classification 21:DOI: s00357Model-Based Clustering for Image Segmentation and Large Datasets via Sampling

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      Source URL: www.stat.washington.edu

      - Date: 2006-05-18 19:56:50
        894

        Earthquake Clustering White Paper Part 2: Earthquake Aftershocks

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        Source URL: www.eqecat.com

        - Date: 2012-02-24 16:44:22
          895

          Clustering in applications with multiple data sources—A mutual subspace clustering approach

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          Source URL: www.cs.sfu.ca

          - Date: 2012-05-30 12:47:37
            896

            & IWA Publishing 2011 Journal of Hydroinformatics390 Water quality comprehensive evaluation method for large water distribution network based on clustering analysis

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            Source URL: www.iwaponline.com

            - Date: 2011-05-05 06:53:58
              897

              -Means Projective Clustering Pankaj K. Agarwal Nabil H. Mustafa Department of Computer Science,

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              Source URL: sma.epfl.ch

              - Date: 2010-12-09 15:59:30
                898

                BIMM Clustering November 5th, 2009

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                Source URL: statweb.stanford.edu

                - Date: 2009-11-09 10:43:18
                  899

                  Two-color narrowband photon pair source with high brightness based on clustering in a monolithic waveguide resonator Kai-Hong Luo, Harald Herrmann, Stephan Krapick, Raimund Ricken, Viktor Quiring, Hubertus Suche, Wolfgan

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                  Source URL: quantumrepeaters.eu

                  - Date: 2015-01-14 06:03:51
                    900

                    Discovering Communities in Linked Data by Multi-View Clustering Isabel Drost, Steffen Bickel, and Tobias Scheffer Humboldt-Universit¨ at zu Berlin, Institut f¨ ur Informatik

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                    Source URL: www.isabel-drost.de

                    Language: English - Date: 2008-10-13 05:45:00
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