Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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A Study on the Development of Clustering Algorithm Using the Entropic Measure of Cohesion

앤트로피 응집력척도를 활용한 군락화기법개발에 관한 연구

  • 정현태 (경북산업대학 산업공학과) ;
  • 최인수 (숭실대학교 산업공학과)
  • Published : 1989.06.01
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Abstract

The purpose of this study is to design effective working systems which adapt to changes in human needs by developing an algorithm which forms workers into optimal groups using the meausre of cohesion. Three major results can be derived from the study. Firstly, the algorithm developed here provides an optimal point at which to stop clustering. Secondely, the entropic measure of cohesion having an internal probabilistic structure is superior with respect to any other methods proposed before as far as the design of workgroup is concerned. Thirdly, the r $C_{n}$ clustering algorithm is better than the dichotonomic one.e.

Keywords

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