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KLFDA
- Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
KLFDA
- Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction
KLFDA
- 这是一个关于Fisher线性判别分析的Matlab的m文件，给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised
KLFDA
- 基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。-Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
KLFDA
- 基于核函数的FDA，监督降维，在模式识别方面很有用-The FDA based on kernel function, supervision and dimension reduction
KLFDA
- matlab论坛里找到的使用自己的数据进行实验，可用。KFDA里就是使用例程。里面是有5类数据。通过高斯核进行LDA分类。-by using the FDA with Gaussian kernel，to classify five different patterns。
KLFDA
- 很好的文件，充分解释了该降维算法的原理，对人工智能有帮助。(A good document fully explains the principle of the dimensionality reduction algorithm, which is helpful for artificial intelligence.)