An application of the generalised K-means algorithm in decision-making processes
by Hsin-Hung Wu, Jiunn-I Shieh, Anthony Y.H. Liao, Shih-Yen Lin
International Journal of Operational Research (IJOR), Vol. 3, No. 1/2, 2008

Abstract: A case study of applying the generalised K-means algorithm with different p values is provided to discuss the applicants' selection under a variety of criteria in an admission process. The properties of the generalised K-means algorithm are exploited in a decision-making process. When p is smaller and closer to zero, the results show the priorities are identical, which is to look for the applicants with even performance. In contrast, the most commonly used p values in K-means algorithm do not generate a systematic pattern. When p becomes larger and approaches ∞, the results show the priorities are difficult to tell, but the intention is to separate alternatives with a number of clusters, which is to look for the applicants with the greatest potential. Finally, in this case study, using smaller p values might provide stable priorities to select 21 applicants out of 36 participants.

Online publication date: Fri, 07-Dec-2007

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