I have a 347x225 matrix, 347 samples (facebook users), and 225 features (their profile), and I used the PCA function for the dimension reduction in Matlab.
x = load (dataset)
coeff = pca (x)
It generated a 225x98 matrix. But I don't understand what exactly it is generating and I am unable to understand what to do next. Cananyonee help me with the understanding? My main goal is to reduce the dimension of my original matrix.
and I don't know what is
coeff = pca(X,Name,Value)
[coeff,score,latent] = pca(___)
[coeff,score,latent,tsquared] = pca(___)
[coeff,score,latent,tsquared,explained,mu] = pca(___)
Do you have more user friendly software available to you such as R, SAS, SPSS or Primer? That would be a better place to start I think if you are trying to approach this problem from a statistical point of view. If your goal is something else then perhaps Matlab is the way to go and I can't help you there.
Here is a very good source of PCA including presentation and source code
Presentation Principal Component Analysis (PCA) : An Overview
Article Principal component analysis - a tutorial
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