Clustering of attribute and/or relational data

Anuška Ferligoj (Author), Luka Kronegger (Author)

Abstract

A large class of clustering problems can be formulated as an optimizational problem in which the best clustering is searched for among all feasible clustering according to a selected criterion function. This clustering approach can be applied to a variety of very interesting clustering problems, as it is possible to adapt it to a concrete clustering problem by an appropriate specification of the criterion function and/or by the definition of the set of feasible clusterings. Both, the blockmodeling problem (clustering of the relational data) and the clustering with relational constraint problem (clustering of the attribute and relational data) can be very successfully treated by this approach. It also opens many new developments in these areas. The paired clustering approaches are applied to the Slovenian scientific collaboration data.

Keywords

Razvrščanje v skupine;Bločno modeliranje;

Data

Language:	English
Year of publishing:	2009
Typology:	1.01 - Original Scientific Article
Organization:	UL FDV - Faculty of Social Sciences
Publisher:	Fakulteta za družbene vede
UDC:	303
COBISS:	28666973
ISSN:	1854-0023
Views:	834
Downloads:	168
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Unknown
Secondary keywords:	Cluster analysis;Blockmodeling;
URN:	URN:NBN:SI
Type (COBISS):	Not categorized
Pages:	str. 135-153
Volume:	ǂVol. ǂ6
Issue:	ǂno. ǂ2
Chronology:	2009
Keywords (UDC):	social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID:	1469879