Clustering of attribute and/or relational data

Ferligoj, Anuška (avtor), Kronegger, Luka (avtor)

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.

• Jezik: Angleški jezik
• Vrsta gradiva: Delo ni kategorizirano
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FDV - Fakulteta za družbene vede
• Leto izida: 2009
• Št. strani: Str. 135-153
• Številčenje: Vol. 6, no. 2
• PID: 20.500.12556/RUL-23032
• UDK: 303
• ISSN pri članku: 1854-0023
• COBISS.SI-ID: 28666973
• Datum objave v RUL: 11.07.2014

Gradivo je del revije

• Naslov: Advances in methodology and statistics
• Skrajšan naslov: Metodol. zv.
• Založnik: Fakulteta za družbene vede
• ISSN: 1854-0023
• COBISS.SI-ID: 215795712