Graph partition

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21Spectral clustering is a well-known way to partition a graph or network into clusters or communities with provable guarantees on the quality of the clusters. This guarantee is known as the Cheeger inequality and it holds

Spectral clustering is a well-known way to partition a graph or network into clusters or communities with provable guarantees on the quality of the clusters. This guarantee is known as the Cheeger inequality and it holds

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Source URL: mmds-data.org

- Date: 2016-06-23 15:50:48
    22CS369N: Beyond Worst-Case Analysis Lecture #4: Probabilistic and Semirandom Models for Clustering and Graph Partitioning∗ Tim Roughgarden† April 25, 2010

    CS369N: Beyond Worst-Case Analysis Lecture #4: Probabilistic and Semirandom Models for Clustering and Graph Partitioning∗ Tim Roughgarden† April 25, 2010

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    Source URL: theory.stanford.edu

    Language: English - Date: 2011-09-26 19:00:24
    23Spectral	
  Algorithms	
  	
   for	
  Graph	
  Mining	
  and	
  Analysis	
   Yiannis	
  Kou:s	
   University	
  of	
  Puerto	
  Rico	
  -­‐	
  Rio	
  Piedras	
  

    Spectral  Algorithms     for  Graph  Mining  and  Analysis   Yiannis  Kou:s   University  of  Puerto  Rico  -­‐  Rio  Piedras  

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    Source URL: mmds-data.org

    Language: English - Date: 2014-06-24 17:32:46
    24Spectral Graph Theory  Lecture 21 Spectral Partitiong in a Stochastic Block Model Daniel A. Spielman

    Spectral Graph Theory Lecture 21 Spectral Partitiong in a Stochastic Block Model Daniel A. Spielman

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    Source URL: www.cs.yale.edu

    Language: English - Date: 2015-12-08 15:18:03
    25A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute

    A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute

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    Source URL: yongfeng.me

    Language: English - Date: 2015-03-02 08:17:50
    26Local Spectral Diffusion for Robust Community Detection ∗ Kun He, Pan Shi  Huazhong University of

    Local Spectral Diffusion for Robust Community Detection ∗ Kun He, Pan Shi Huazhong University of

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    Source URL: www.mlgworkshop.org

    Language: English - Date: 2016-08-14 01:22:56
    27Genome Informatics 12: 93–A Graph-Based Clustering Method for a Large Set of Sequences Using a Graph Partitioning Algorithm

    Genome Informatics 12: 93–A Graph-Based Clustering Method for a Large Set of Sequences Using a Graph Partitioning Algorithm

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    Source URL: www.jsbi.org

    Language: English - Date: 2002-01-17 03:51:05
    28Localized Matrix Factorization for Recommendation based on Matrix Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma, Shi Feng Tsinghua University, Beijing, China

    Localized Matrix Factorization for Recommendation based on Matrix Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma, Shi Feng Tsinghua University, Beijing, China

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    Source URL: yongfeng.me

    Language: English - Date: 2015-03-02 08:17:50
    29Spectral Graph Theory and its Applications  September 14, 2004 Lecture 4 Lecturer: Daniel A. Spielman

    Spectral Graph Theory and its Applications September 14, 2004 Lecture 4 Lecturer: Daniel A. Spielman

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    Source URL: www.cs.yale.edu

    Language: English - Date: 2005-06-30 12:02:45
    30Multi-Agent Ad Hoc Team Partitioning by Observing and Modeling Single-Agent Performance Etkin Baris Ozgul∗ , Somchaya Liemhetcharat† , and Kian Hsiang Low∗ ∗ Department  of Computer Science, National University o

    Multi-Agent Ad Hoc Team Partitioning by Observing and Modeling Single-Agent Performance Etkin Baris Ozgul∗ , Somchaya Liemhetcharat† , and Kian Hsiang Low∗ ∗ Department of Computer Science, National University o

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    Source URL: somchaya.org

    Language: English - Date: 2014-12-21 21:40:58