Some Algorithms for Clustering Categorical Data in Data Mining

Received: 05-12-2011

Accepted: 18-05-2012

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Issue: Vol. 10 No. 3 (2012)

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KỸ THUẬT VÀ CÔNG NGHỆ

How to Cite:

Ha, H. (2024). Some Algorithms for Clustering Categorical Data in Data Mining. Vietnam Journal of Agricultural Sciences, 10(3), 460–473. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/8

Some Algorithms for Clustering Categorical Data in Data Mining

Hoang Thi Ha (*) 1

  • 1 Khoa Công nghệ thông tin, Trường Đại học Nông nghiệp Hà Nội

    • Keywords

    Cluster analysis, Categorical data, Data mining, Rough set theory

    Abstract


    The paper describes some typical clustering algorithms for categorical attributes. Specifucally, we focus on research clustering algorithm called MMR which is based on the rough set theory. The algorithm has the ability to control uncertainty in processing cluster. It has been successfully installed and four standard data sets were tested. The results indicate that MMR generates better quality clusters than some traditional algorithms.

    References

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