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...
| Main Authors: | , |
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| Format: | Proceeding |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/10016/ |