Partitioning Networks into Clusters and Residuals with Average Association

0345968 - ÚI 2011 RIV US eng J - Článek v odborném periodiku
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
Grant CEP: GA MŠMT 7E08027
GRANT EU: European Commission(XE) 200728 - BRAINSYNC
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: biomedical MRI * complex networks * optimisation * statistical analysis * synchronisation
Kód oboru RIV: FH - Neurologie, neurochirurgie, neurovědy
Impakt faktor: 2.081, rok: 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.
Trvalý link: http://hdl.handle.net/11104/0187120