Comparatively, for SPCA using Gauss Kernel Function and Laplace Kernel Function, it is required to normalize original data according to the category, and the constructed evaluation functions are better than the ones constructed via using PCA.

• 而用Gauss核函数和Laplace核函数的谱主成分分析，需对原数据作同类别数据间的规范化，其构造的评价函数也优于用主成分方法构造的评价函数。