how to reduce dimensionality of features by usin pca?

3 次查看(过去 30 天)
Now I can apply PCA in Matlab by using [coeff, score, latent, ~, explained] = pca(X);and size of X 20*20, And now my confusion begins. Should I take the first column of coeff or of score or other to get reconstructed features by pca?

回答(1 个)

David J. Mack
David J. Mack 2017-3-3
To get a simply answer (whitout really adressing the problem), have a look as pcares
Greetings, David

类别

Help CenterFile Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by