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How to apply The Kaiser rule in PCA?

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Hi,
In MATLAB there is a bulid function to apply principle component analysis PCA. However, I have a problem on applying The Kaiser rule which drop all components with eigenvalues under 1. For Example I want to apply this method on the data:
X = [1 2 3 4 5 ; -1 -3 -1 2 4 ; -2 1.5 3 2 -9 ; 1 -1 0.25 2.3 2.2];
[coeff,newdata,latend,tsd,variance] = pca(X)
Please can some one help me on this. Many thanks.

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Accepted Answer

Shubh Sahu
Shubh Sahu on 30 Jan 2020
Edited: Shubh Sahu on 30 Jan 2020
Hey!
Instead of calculating PCA go with SVD. Take under the under root of sigmas 's' and now you have eigenvalues. Check for kaiser rule and select the column with eigenvalue less than 1
X = [1 2 3 4 5 ; -1 -3 -1 2 4 ; -2 1.5 3 2 -9 ; 1 -1 0.25 2.3 2.2];
[u,s,v] = svd(X)
Please refer to this link for further information

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