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Partitioning Networks into Clusters and Residuals with Average Association

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    0345968 - ÚI 2011 RIV US eng J - Journal Article
    Vejmelka, Martin - Paluš, Milan
    Partitioning Networks into Clusters and Residuals with Average Association.
    Chaos. Roč. 20, č. 3 (2010), 033103:1-033103:13. ISSN 1054-1500. E-ISSN 1089-7682
    R&D Projects: GA MŠMT 7E08027
    EU Projects: European Commission(XE) 200728 - BRAINSYNC
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : biomedical MRI * complex networks * optimisation * statistical analysis * synchronisation
    Subject RIV: FH - Neurology
    Impact factor: 2.081, year: 2010

    The paper proposes a method of partitioning the vertices of a network into sets with higher internal connectivity (clusters) and a residual set, which may be empty. The residual set contains vertices of the network which do not fit into any clusters.
    Permanent Link: http://hdl.handle.net/11104/0187120

     
     
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