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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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English |
| 出版: |
2022
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/101497/1/MuftahMohamedJomahBaroudPSC2022.pdf.pdf |
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