Number of the records: 1

Partitioning Networks into Clusters and Residuals with Average Association

SYSNO ASEP	0345968
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Partitioning Networks into Clusters and Residuals with Average Association
Author(s)	Vejmelka, Martin (UIVT-O)_{SAI, RID, ORCID} Paluš, Milan (UIVT-O)_{RID, SAI, ORCID}
Source Title	Chaos. - : AIP Publishing - ISSN 1054-1500 Roč. 20, č. 3 (2010), 033103:1-033103:13
Number of pages	13 s.
Language	eng - English
Country	US - United States
Keywords	biomedical MRI ; complex networks ; optimisation ; statistical analysis ; synchronisation
Subject RIV	FH - Neurology
R&D Projects	7E08027 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000282438500003
EID SCOPUS	78649435446
DOI	10.1063/1.3460360
Annotation	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.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2011

Number of the records: 1