An Application of the Generalized K-Means Algorithm in Decision-Making Processes

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题名:	An Application of the Generalized K-Means Algorithm in Decision-Making Processes
作者:	謝俊逸;Shieh, Jiunn-I;廖岳祥;Anthony, Y.H.Liao
贡献者:	資訊多媒體應用學系
日期:	2008-03
上传时间:	2012-11-26 07:10:41 (UTC+0)
摘要:	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.
關聯:	International Journal of Operational Research
显示于类别:	[行動商務與多媒體應用學系] 期刊論文

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