KPCA 的基本思想是将数据从输入空间映射到高维特征空间,然后在特征空间利用线性主成分分析方法计算主成分。本程序是KPCA的源程序，可实现调用。对于初学者或许有帮助。-The basic idea of KPCA is to map the data from the input space to high dimensional feature space, then in the feature space using principal component analysis method to calculate the linear principal components. This program is the source KPCA can achieve call. May be helpful for beginners.