Clustering

Results: 2940



#Item
141

Bipartite Correlation Clustering – Maximizing Agreements Megasthenis Asteris The University of Texas at Austin Anastasios Kyrillidis

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Source URL: megasthenis.github.io

- Date: 2016-05-17 16:47:37
    142

    Clustering of Inertial Indoor Positioning Data Lorenz Schauer and Martin Werner Mobile and Distributed Systems Group Ludwig-Maximilians Universit¨at, Munich, Germany ,

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    Source URL: www.cip.ifi.lmu.de

    - Date: 2015-08-03 11:35:56
      143

      Leveraging Social Bookmarks from Partially Tagged Corpus for Improved Webpage Clustering Anusua Trivedi School of Computing, University of Utah, Salt Lake CityUT) Piyush Rai School of Computing, University of U

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      Source URL: www.cs.utah.edu

      - Date: 2011-04-10 16:58:25
        144

        Visualizing the Refactoring of Classes via Clustering Keith Cassell Craig Anslow Lindsay Groves

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        Source URL: homepages.ecs.vuw.ac.nz

        - Date: 2010-11-18 19:56:53
          145

          An Investigation of Computational and Informational Limits in Gaussian Mixture Clustering Nathan Srebro† Gregory Shakhnarovich‡ Sam Roweis†

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          Source URL: ttic.uchicago.edu

          - Date: 2007-05-11 00:47:49
            146

            Decomposing Object-Oriented Class Modules Using an Agglomerative Clustering Technique Marios Fokaefs Department of Computing Science University of Alberta Edmonton, Canada

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            Source URL: java.uom.gr

            - Date: 2015-11-06 10:19:42
              147

              Deterministic pivoting algorithms for constrained ranking and clustering problems Anke van Zuylen∗ Rajneesh Hegde†

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              Source URL: arvanzuijlen.people.wm.edu

              - Date: 2010-09-17 07:13:25
                148

                JMLR: Workshop and Conference Proceedings vol 40:1–19, 2015 Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering Justin Eldridge Mikhail Belkin

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                Source URL: www.jmlr.org

                - Date: 2015-07-20 20:08:36
                  149

                  CSE 291: Unsupervised learning Spring 2008 Lecture 3 — The k-medoid clustering problem

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                  Source URL: cseweb.ucsd.edu

                  - Date: 2008-04-20 18:57:51
                    150

                    Scalable Prediction of Energy Consumption using Incremental Time Series Clustering Yogesh Simmhan and Muhammad Usman Noor University of Southern California Los Angeles, CA 90089

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                    Source URL: ganges.usc.edu

                    - Date: 2016-06-27 14:53:00
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