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《Journal of Dalian University of Technology》 2003-06
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An improved algorithm for fuzzy k-prototypes algorithm

WANGYu~(*1),YANGLi~2( 1.School of Manage., Dalian Univ. of Technol., Dalian 116024, China;2.Dept. of Foreign Lang., Dalian Univ. of Technol., Dalian 116024, China )  
Fuzzy k-prototypes algorithm is one of the most efficient algorithms in clustering at present. This paper describes the developing process and the main properties for fuzzy k-prototypes algorithm, and points out its disadvantages in dealing with the mixed numeric and categorical valued data; furthermore, an improved algorithm is presented; finally, the algorithm is applied to Chinese loanwords in English. The computing results show the good stability and high accuracy.
【CateGory Index】: TP311.13
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1 ZHANG Yu;Southwest China Institute of Electronic Technology;;An improved BIRCH clustering method for radar reconnaissance data based on extremum features[J];电子设计工程;2016-09
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