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다차원 개체를 위한 차이 등급 clustering : The Difference Order Clustering for Multi-dimensional Entities

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dc.contributor.author이철-
dc.contributor.author강석호-
dc.date.accessioned2009-09-03T08:09:55Z-
dc.date.available2009-09-03T08:09:55Z-
dc.date.issued1989-06-
dc.identifier.citation한국경영과학회지, 제14권, 제1호(1989). pp. 108-118en
dc.identifier.issn1225-1119-
dc.identifier.urihttps://hdl.handle.net/10371/8571-
dc.description.abstractThe clustering problem for multi-dimensional entities is investigated. A heuristic method, which is named as Difference Order Clustering (DOC), is developed for the grouping of multi-dimensional entities. DOC method has an advantage of identifying the bottle-neck entities. Comparisions among the proposed DOC method, modified rank order clustering (MODROC) method, and lexicographical rank order clustering using minimum spanning tree (lexico-MMSTROC) are illustrated by a part type selection problem.en
dc.language.isokoen
dc.publisher한국경영과학회 = The Korean Operations Research and Management Science Societyen
dc.relation.ispartofseries14(1)en
dc.relation.ispartofseries108-118en
dc.title다차원 개체를 위한 차이 등급 clusteringen
dc.title.alternativeThe Difference Order Clustering for Multi-dimensional Entitiesen
dc.typeArticleen
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