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Partitioning Networks into Clusters and Residuals with Average Association
- 1.0345968 - 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
Number of the records: 1