Autonomous clustering using rough set theory |
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Authors: | Charlotte Bean Chandra Kambhampati |
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Affiliation: | (1) Warwick Medical School Gibbet Hill Campus, University of Warwick, Coventry, CV4 7AL, UK;(2) Department of Computer Science, University of Hull, Hull, HU6 7RX, UK |
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Abstract: | This paper proposes a clustering technique that minimizes the need for subjective human intervention and is based on elements of rough set theory(RST).The proposed algorithm is unified in its approach to clustering and makes use of both local and global data properties to obtain clustering solutions.It handles single-type and mixed attribute data sets with ease.The results from three data sets of single and mixed attribute types are used to illustrate the technique and establish its efficiency. |
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Keywords: | Rough set theory(RST) data clustering knowledge-oriented clustering autonomous |
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