Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Agglomerative Hierarchical Clustering for Information Retrieval Using Latent Semantic Index

Full metadata record
DC Field Value Language
dc.contributor.authorChung, In Jeong-
dc.date.accessioned2021-08-28T18:52:56Z-
dc.date.available2021-08-28T18:52:56Z-
dc.date.created2021-04-22-
dc.date.issued2015-12-19-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/30727-
dc.publisherIEEE-
dc.titleAgglomerative Hierarchical Clustering for Information Retrieval Using Latent Semantic Index-
dc.title.alternativeAgglomerative Hierarchical Clustering for Information Retrieval Using Latent Semantic Index-
dc.typeConference-
dc.contributor.affiliatedAuthorChung, In Jeong-
dc.identifier.bibliographicCitationThe 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015), pp.426 - 431-
dc.relation.isPartOfThe 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015)-
dc.relation.isPartOfSmart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on-
dc.citation.titleThe 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015)-
dc.citation.startPage426-
dc.citation.endPage431-
dc.citation.conferencePlaceCC-
dc.citation.conferencePlaceChengdu, China-
dc.citation.conferenceDate2015-12-19-
dc.type.rimsCONF-
dc.description.journalClass1-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science and Technology > Department of Computer Convergence Software > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE