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Autonomous clustering using rough set theory

By Charlotte Bean and Chandra Kambhampati


This paper proposes a clustering technique that minimises the need for subjective\ud human intervention and is based on elements of rough set theory. The proposed algorithm is\ud unified in its approach to clustering and makes use of both local and global data properties to\ud obtain clustering solutions. It handles single-type and mixed attribute data sets with ease and\ud results from three data sets of single and mixed attribute types are used to illustrate the\ud technique and establish its efficiency

Topics: QA
Publisher: Springer Verlag
Year: 2008
OAI identifier:

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