Dear R users, i would like to apply a PCA on image data for data reduction. The image data is available as three matrices for the RGB values. At the moment i use
x <- data.frame(R,G,B)#convert image data to data frame pca<-princomp(x,retx = TRUE) This is working so far. >From this results then i want to create a new matrix from the first (second..) principal component. Here i stuck. So my question is how can i create this matrix from the results of the PCA. (Maybe there is also a faster method available for PCA?) Any answers or advices are appreciated With kind regards M.Austenfeld -- View this message in context: http://www.nabble.com/PCA-on-image-data-tp18255217p18255217.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
