Anuška Ferligoj (Avtor), Luka Kronegger (Avtor)

Povzetek

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.

Ključne besede

Razvrščanje v skupine;Bločno modeliranje;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FDV - Fakulteta za družbene vede
Založnik: Fakulteta za družbene vede
UDK: 303
COBISS: 28666973 Povezava se bo odprla v novem oknu
ISSN: 1854-0023
Št. ogledov: 834
Št. prenosov: 168
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Neznan jezik
Sekundarne ključne besede: Cluster analysis;Blockmodeling;
URN: URN:NBN:SI
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 135-153
Letnik: ǂVol. ǂ6
Zvezek: ǂno. ǂ2
Čas izdaje: 2009
Ključne besede (UDK): social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID: 1469879