Loading...
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.
- 전남대학교
- KCI
- 한국경영과학회지
저자 정보
| 이름 | 소속 |
|---|---|
| 김재윤 | 경영학부 |
| 정영선 | 산업공학과 |