KISTI repository
BROWSE
download0
view268
This item is licensed Korea Open Government License
- dc.contributor.author
- 윤진혁
- dc.date.accessioned
- 2023-07-20T16:00:07Z
- dc.date.available
- 2023-07-20T16:00:07Z
- dc.date.issued
- 2022
- dc.identifier.other
- K-22-IA-31-01R-1
- dc.identifier.uri
- https://repository.kisti.re.kr/handle/10580/18465
- dc.publisher
- 한국과학기술정보연구원
- dc.title
- 대규모 문헌데이터의 효율적인 클러스터링 기법 연구
- dc.title.alternative
- A study on efficient clustering methods for large-scale scientific literature dataset
- dc.type
- Report
- dc.contributor.affiliation
- 숭실대학교
- dc.contributor.affiliation
- 한국과학기술정보연구원
- dc.contributor.affiliation
- KISTI
- dc.identifier.localId
- 8101008
- dc.subject.keyword
- 클러스터링
- dc.subject.keyword
- 네트워크
- dc.subject.keyword
- 인용
- dc.subject.keyword
- 과학계량학
- dc.subject.keyword
- 정보학
- Appears in Collections:
- 7. KISTI 연구성과 > 연구보고서 > 2022
- Files in This Item:
- There are no files associated with this item.
