Naslov
Research project grouping and ranking by using adaptive Mahalanobis clustering

Autori
Turkalj, Željko ; Markulak, Damir ; Singer, Slavica ; Scitovski, Rudolf

Izvornik
Croatian operational research review (1848-0225) 7 (2016), 1; 81-96

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
adaptive Mahalanobis clustering ; multi-criteria decision making ; evaluation ; project clustering

Sažetak
The paper discusses the problem of grouping and ranking of research projects submitted for a call. The projects are grouped into clusters based on the assessment obtained in the review procedure and by using the adaptive Mahalanobis clustering method as a special case of the Expectation Maximization algorithm. The cluster of projects assessed as best is specially analyzed and ranked. The paper outlines several possibilities for the use of data obtained in the review procedure, and the proposed method is illustrated with the example of internal research projects at the University of Osijek.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo

POVEZANOST RADA