PCA LDA

Question

Jigar Gada 2012-3-21

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/33012-pca-lda

回答： Matlaber 2019-3-5

Hello, I am doin a project on face detection+recognition. Face detection part is working properly. I hav done face recognition using PCA but this method is highly undependable, so i planned to use LDA once we get the weights using PCA. However LDA algo gives me a eigenvector of size m*m where m=number of classes(in my case faces). However for recognition testing the vector will be of size M*1. where M=no of eigen vectors using PCA and i hav to project it on the LDA space but the dimensions arent matching. so ther is an error. Please someone help me out. I am stuck at this point.

1 个评论
显示 -1更早的评论隐藏 -1更早的评论

Ilya 2012-4-4

If you show your code, it would help understand what you are asking.

MATLAB implementations of LDA, either function CLASSIFY or the new class ClassificationDiscriminant, compute m*(m-1)/2 sets of linear coefficients for m classes. I don't know what you mean by "eigenvector of size m*m".

Perhaps you want to project your data onto the principal components and then apply LDA to the projected data. It is hard to be certain based on your description that that's what you want.

请先登录，再进行评论。

请先登录，再回答此问题。