[R] PCA on image data
marcel.austenfeld at uni-bielefeld.de
Thu Jul 3 14:43:40 CEST 2008
As i've already written the princomp method works for me. But i'm interested
to produce from the results a matrix which i can visualize (e.g the first
pc) in an image application and which is then the source for a clustering
The background is that i've an application which can transfer images to R
and create images from R very fast (using ImageJ and RServe). I've already
clustered successfully image data with the cluster package.
If i now have more than three channels (or bands - > R,G,B) i want to reduce
the dataset with the PCA.
So which data (as a matrix) represents the first pc or how can i calculate
from the results
this matrix? Since i've not worked with the PCA method before any
explanation beyond the R help
would really help me.
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