During pca analysis using built in pca function in matlab, I faced the following error. Data is actually a feature vector obtained from 30 MR images.
>> size(data)
ans =
30 281 389 104
[coeff score varience] = pca(data);
Error using bsxfun
Non-singleton dimensions of the two input arrays must match each other.
Error in pca>localSVD (line 468)
x = bsxfun(@times, x, PhiSqrt);
Error in pca (line 341)
[U,sigma, coeff, wasNaN] = localSVD(x, n,...
Would you let me know any solution?
The documentation says it expects its input as an input matrix of NxP
. You probably need to reshape your matrix to match this input requirements.