Empirical analysis of rough set categorical clustering techniques based on rough purity and value set

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Empirical analysis of rough set categorical clustering techniques based on rough purity and value set

Clustering a set of objects into homogeneous groups is a fundamental operation in data mining. Recently, attention has been put on categorical data clustering, where data objects are made up of non-numerical attributes. The implementation of several existing categorical clustering techniques is c...

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Bibliographic Details
Main Author:	Uddin, Jamal
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/336/ http://eprints.uthm.edu.my/336/1/JAMAL%20UDDIN%20WATERMARK.pdf http://eprints.uthm.edu.my/336/2/24p%20JAMAL%20UDDIN.pdf

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