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The improvement of initial point selection method for fuzzy K-Prototype clustering algorithm

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2 Author(s)
Zhou Caiying ; Sci.&Technol. Div., JiangXi Univ. of Sci. & Technol., Ganzhou, China ; Huang Longjun

K-Prototype is one of the important and effective clustering analysis algorithm to deal with mixed data types. This article discussed fuzzy clustering algorithm based on K-Prototype in detail and made improvements to solve its initial value problems. The proposed method is simple, easy to understand and can be achieved easily.

Published in:

Education Technology and Computer (ICETC), 2010 2nd International Conference on  (Volume:4 )

Date of Conference:

22-24 June 2010