How to use PCA algorithm for feature reduction...?
显示 更早的评论
i am new at this method and i just want to get a solution with in a short time...so please help me how can i implement this method effectively.. for example, we have 10 sample set each having 10 images and each image having 1*576 so,we have extracted 10 sample set feature size i.e 100*576 so i just want to reduce it 576 to 250. i applied [coeff,score,latent,tsquared,mu]=pca(x,'Numcomponents',inf); but i did not get the right output that means reduced feature, it is not working and getting trouble to select which one is the final output from this method..
回答（1 个）
Nidhi
2022-7-12
0 个投票
A similar question was asked and the answer to the question is given below in this link:
类别
在 帮助中心 和 File Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息
2017-5-31
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
