Dimensional reduction by PCA
5 ビュー (過去 30 日間)
古いコメントを表示
I have an vector x whose dimension has to be reduced to 5 x 50 by PCA.
[5,500]=size(x);
while giving the no_dimns=50 I faced a problem
Warning: Target dimensionality reduced to 5.
Is it possible to reduce the dimension of matrix from 5 x 500 to 5 x 50??
0 件のコメント
採用された回答
Shashank Prasanna
2013 年 1 月 29 日
I think that the code expects you provide x' or x transpose where the rows are 500 and columns are 5
8 件のコメント
Shashank Prasanna
2013 年 2 月 1 日
It appears the file in your link doesn't reconstruct but just gives you the reduced scores, which means you can do:
[pc,score,latent,tsquare] = princomp(X);
red_dim = score(:,1:50);
PCARES actually reconstructs the scores back to the original basis.
その他の回答 (1 件)
Nikos Mp
2017 年 9 月 15 日
2 questions: 1.So we take the scores or the reconstructed data? 2.P.Component = feature ? So we choose the best PComponents?
0 件のコメント
参考
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!