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Process of extracting uncover patterns from data: a review
journal contribution
posted on 2023-05-17, 01:59 authored by Julian DermoudyJulian Dermoudy, Byeong KangByeong Kang, Bhattacharyya, D, Jeon, SH, Farkhod, AExtracting required patterns from huge amount of mixed data is an area of interest to the researchers. Various promising and already established algorithms are currently using in the name of Data Clustering. Clustering is used for partitioning the data into number of data sets or group. In this paper, we review four popular clustering algorithms from data mining perspective.
History
Publication title
International Journal of Database Theory and ApplicationPagination
17-33ISSN
2005-4270Department/School
School of Information and Communication TechnologyPublisher
Science & Engineering Research Support SocietyPlace of publication
Korea, Republic ofRights statement
Copyright © 2009 SERSCRepository Status
- Restricted