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

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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书目详细资料
主要作者:	Uddin, Jamal
格式:	Thesis
语言:	English English
出版:	2017
主题:	QA76 Computer software
在线阅读:	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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