Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1998.06a
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- Pages.134-138
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- 1998
Unification of Kohonen Neural network with the Branch-and-Bound Algorithm in Pattern Clustering
- Park, Chang-Mok (Dept. of Industrial Engineering Ajou University) ;
- Wang, Gi-Nam (Dept. of Industrial Engineering Ajou University)
- Published : 1998.06.01
Abstract
Unification of Kohone SOM(Self-Organizing Maps) neural network with the branch-and-bound algorithm is presented for clustering large set of patterns. The branch-and-bound search technique is employed for designing coarse neural network learning paradaim. Those unification can be use for clustering or calssfication of large patterns. For classfication purposes further usefulness is possible, since only two clusters exists in the SOM neural network of each nodes. The result of experiments show the fast learning time, the fast recognition time and the compactness of clustering.