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논문 리스트

2016
경영사례를 이용한 군집화 유효성 Performance Comparison of Clustering Validity Indices with Business Applications
한국경영과학회
김재윤, 정영선 외 1명
논문정보
Publisher
한국경영과학회지
Issue Date
2016-05-31
Keywords
-
Citation
-
Source
-
Journal Title
-
Volume
41
Number
2
Start Page
17
End Page
33
DOI
ISSN
12251119
Abstract
Clustering is one of the leading methods to analyze big data and is used in many different fields. This study deals with Clustering Validity Index (CVI) to verify the effectiveness of clustering results. We compare the performance of CVIs with business applications of various field. In this study, the used CVIs for comparing performance are DU, CH, DB, SVDU, SVCH, and SVDB. The first three CVIs are well-known ones in the existing research and the last three CVIs are based on support vector data description. It has been verified with outstanding performance and qualified as the application ability of CVIs based on support vector data description.

저자 정보

이름 소속
김재윤 경영학부
정영선 산업공학과