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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, A
Extracting 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 Application

Pagination

17-33

ISSN

2005-4270

Department/School

School of Information and Communication Technology

Publisher

Science & Engineering Research Support Society

Place of publication

Korea, Republic of

Rights statement

Copyright © 2009 SERSC

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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