Principal Component Analysis for feature extraction

20 views (last 30 days)
Hi. I'm learning about PCA and wanted to learn how it can be used for feature extraction and if it is feasible to extract features using PCA? Also I don't understand when exactly is PCA used in image processing. From what I understand it is used to reduce the size of a dataset and then features are extracted from that dataset using some other methods such as GLCM. Am I correct?

Answers (1)

deepak panday
deepak panday on 10 Jan 2018
[coff,score]=pca(data) newData = data*coff(:,1:n)
where n is number of feature to selected.

Community Treasure Hunt

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

Start Hunting!

Translated by