Support vector clustering for multiclass classification problems
Bingyu Sun, De-Shuang Huang · 2004
We propose a new approach by combining support vector clustering (SVC) with a two layered neural network for multiclass classification problems. This new approach is not only capable of improving the performance of the traditional SVC, but also, compared to support vector machines (SVM), can reduce the computational complexity and get better performance in the case of multiclass problems. Finally, the experimental results demonstrate the effectiveness and efficiency of our approach.