Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Improvement on Fuzzy C-Means Using Principal Component Analysis
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 최항석 | - |
| dc.contributor.author | 차경준 | - |
| dc.date.accessioned | 2022-12-21T11:38:24Z | - |
| dc.date.available | 2022-12-21T11:38:24Z | - |
| dc.date.created | 2022-09-19 | - |
| dc.date.issued | 2006-04 | - |
| dc.identifier.issn | 1598-9402 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/181567 | - |
| dc.description.abstract | In this paper, we show the improved fuzzy c-means clustering method. To improve, we use the double clustering as principal component analysis from objects which is located on common region of more than two clusters. In addition we use the degree of membership (probability) of fuzzy c-means which is the advantage. From simulation result, we find some improvement of accuracy in data of the probability 0.7 exterior and interior of overlapped area. | - |
| dc.language | 한국어 | - |
| dc.language.iso | ko | - |
| dc.publisher | 한국데이터정보과학회 | - |
| dc.title | Improvement on Fuzzy C-Means Using Principal Component Analysis | - |
| dc.title.alternative | Improvement on Fuzzy C-Means Using Principal Component Analysis | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | 차경준 | - |
| dc.identifier.bibliographicCitation | 한국데이터정보과학회지, v.17, no.2, pp.301 - 309 | - |
| dc.relation.isPartOf | 한국데이터정보과학회지 | - |
| dc.citation.title | 한국데이터정보과학회지 | - |
| dc.citation.volume | 17 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 301 | - |
| dc.citation.endPage | 309 | - |
| dc.type.rims | ART | - |
| dc.identifier.kciid | ART001011059 | - |
| dc.description.journalClass | 2 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Clustering | - |
| dc.subject.keywordAuthor | Fuzzy c-means | - |
| dc.subject.keywordAuthor | Principal component analysis | - |
| dc.identifier.url | https://koreascience.kr/article/JAKO200622941494164.pdfhttps://koreascience.kr/article/JAKO200622941494164.pdf | - |
- Files in This Item
- Go to Link
- Appears in
Collections - 서울 자연과학대학 > 서울 수학과 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Cha, Kyung Joon
- COLLEGE OF NATURAL SCIENCES (DEPARTMENT OF MATHEMATICS)