The New Method Definite Initial Cluster Center for Fuzzy Risk Clustering Neural Networks
- 10.2991/iske.2007.64How to use a DOI?
- density; grid; initial cluster center; fuzzy risk clustering neural networks
Neural network has a powerful parallel processing capability, along with its rise in the fuzzy risk cluster analysis which has occupied an important position, however, the quality of fuzzy risk clustering results is influenced by the initial value of options. The initial cluster center method for fuzzy risk clustering neural network, based on density and grid method, automatically determine the number of clusters and the initial cluster centers. Compared with the classical method simulation FCM, we can see a valid and effective method that can effectively speed up the convergence.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kaiqi Zou AU - Jie Cui PY - 2007/10 DA - 2007/10 TI - The New Method Definite Initial Cluster Center for Fuzzy Risk Clustering Neural Networks BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 381 EP - 384 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.64 DO - 10.2991/iske.2007.64 ID - Zou2007/10 ER -