| 1. | Based on this idea , a general framework for linear analysis in singular case is developed , i . e . , pca is first used to reduce the dimension of image space to m ( the rank of the total scatter matrix )
更为重要的是，我们进一步揭示了高维、小样本情况下线性鉴别分析的本质，即先作k - l变换，再用fisher鉴别变换作二次特征抽取。 |
