Interactive Evolutionary Computation and Density- based Clustering for Data Analysis

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Interactive Evolutionary Computation and Density- based Clustering for Data Analysis

Data clustering is useful in solving many pattern recognition and decision support tasks. This work has empirically demonstrated the effectiveness of a hybrid neural network model for density-based clustering. The cluster regions formed were then evaluated based on visualisation of clustering inform...

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Bibliographic Details
Main Authors:	Teh, Chee Siong, Chen, Chwen Jen
Format:	Proceeding
Published:	2007
Subjects:	L Education (General) T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/10016/

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