Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
497483 | Applied Soft Computing | 2007 | 8 Pages |
Abstract
In the paper, as an improvement of fuzzy clustering neural network FCNN proposed by Zhang et al., a novel robust fuzzy clustering neural network RFCNN is presented to cope with the sensitive issue of clustering when outliers exist. This new algorithm is based on Vapnik's É-insensitive loss function and quadratic programming optimization. Our experimental results demonstrate that RFCNN has much better robustness for outliers than FCNN.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Shitong Wang, Korris F.L. Chung, Deng Zhaohong, Hu Dewen,