Zhang Jing, Yang Zhiyong, Yu Hongyun, Sun Xiaoyan. Kernel optimization approach based on maximumsubclass margin criterion[J]. Journal of Image and Graphics, 2012, 17(12): 1509-1515. DOI: 10.11834/jig.20121207.
Kernel optimization approach based on maximumsubclass margin criterion
最后利用奇异值分解实现核函数参数的优化选取。本文利用UCI(University of California
Irvine)数据对算法进行仿真实验
仿真结果表明了本文方法的正确性和有效性。
Abstract
In order to deal with the kernel optimization
a new kernel data-dependent optimizaition kernel approach based on maximum subclass margin criterion is proposed. In this scheme
a maximum subclass margin function is created firstly. Then
the in-between-subclass and inter-subclass scatter matrix in the empirical feature space are defined. Finally
the optimal coefficients vector is solved by the selected optimization criterion. Experimental results based on UCI data show that it is effective and feasible.