New rough set based maximum partitioning attribute algorithm for categorical data clustering

New rough set based maximum partitioning attribute algorithm for categorical data clustering

Clustering a set of data into homogeneous groups is a fundamental operation in data mining. Recently, consideration has been put on categorical data clustering, where the data set consists of non-numerical attributes. However, implementing several existing categorical clustering algorithms is challe...

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书目详细资料
主要作者:	Jomah Baroud, Muftah Mohamed
格式:	Thesis
语言:	English
出版:	2022
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/101497/1/MuftahMohamedJomahBaroudPSC2022.pdf.pdf
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