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Research project grouping and ranking by using adaptive Mahalanobis clustering
2016
Journal:  
Croatian Operational Research Review
Author:  
DOI:  
10.17535/crorr.2016.0006
Abstract:

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.

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Croatian Operational Research Review

Field :   Fen Bilimleri ve Matematik

Journal Type :   Uluslararası

Metrics
Article : 364
Cite : 123
2023 Impact : 0.03
Quarter
Basic Field of Science and Mathematics
Q4
111/135
Details
Croatian Operational Research Review