A new soft set-based technique for clustering attribute selection in educational data mining

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A new soft set-based technique for clustering attribute selection in educational data mining

Determining the best clustering attribute is an essential process in data clustering, since this task is a relatively simple and efficient for attributes-based data clustering. Five well-known rough and soft sets-based techniques for selecting a clustering attribute respectively TR, MMR, MDA, NSS, a...

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Bibliographic Details
Main Author:	Suhirman, .
Format:	Thesis
Language:	English
Published:	2016
Subjects:	QA75 Electronic computers. Computer science T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/15254/ http://umpir.ump.edu.my/id/eprint/15254/1/A%20new%20soft%20set-based%20technique%20for%20clustering%20attribute%20selection%20in%20educational%20data%20mining.pdf

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