In order to improve the clustering efficiency of mixed attributes,a mixed-attribute cluste-ring algorithm based on the expand flip distance(EFD)is proposed.Based on the information entro-py and entropy weight method,the EFD is obtained by defining the expansion attribute and the at-tribute expansion amount,which is used as the basis for the attribute differentiation of the object to be clustered,and the attribute reduction of the clustered object is carried out,and finally the mixed attribute clustering model is constructed for the reduced attribute to realize the mixed attribute clus-tering.Experiment results show that the clustering pedigree map and the clustering results obtained by the proposed algorithm are better than those of the comparison algorithms,which verifies its ra-tionality and effectiveness.
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维普
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