Proceedings of the Korea Information Processing Society Conference (한국정보처리학회:학술대회논문집)
- 2007.05a
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- Pages.457-458
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- 2007
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Data Clustering Using Hybrid Neural Network
- Guan, Donghai (Dept. of Computer Engineering, Kyung Hee University) ;
- Gavrilov, Andrey (Dept. of Computer Engineering, Kyung Hee University) ;
- Yuan, Weiwei (Dept. of Computer Engineering, Kyung Hee University) ;
- Lee, Sung-Young (Dept. of Computer Engineering, Kyung Hee University) ;
- Lee, Young-Koo (Dept. of Computer Engineering, Kyung Hee University)
- Published : 2007.05.11
Abstract
Clustering plays an indispensable role for data analysis. Many clustering algorithms have been developed. However, most of them suffer poor performance of learning. To archive good clustering performance, we develop a hybrid neural network model. It is the combination of Multi-Layer Perceptron (MLP) and Adaptive Resonance Theory 2 (ART2). It inherits two distinct advantages of stability and plasticity from ART2. Meanwhile, by combining the merits of MLP, it improves the performance for clustering. Experiment results show that our model can be used for clustering with promising performance.
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