So I would like to conduct PCA on a dataset I have that is of sample size 23 and feature size 813 (nxp = 23×813). However, when I run the pca function, the coeff variable returned is blank. why is this the case? I am aware my sample size: feature size ratio is very low, but the function returned a 813×22 coefficient matrix when I ran it on my data before I processed it (transformed nonnormally distributed data & feature scaling) so I know it is not because of unsuitable data size.
I have attached a copy of the data I am trying to use if anyone is able to help; thanks!
[coeff, ~, latent] = pca(deltaEBC);
UPDATE: I was feature scaling by taking feature X, subtracting the mean of X, and dividing by the standard deviation of X. I changed this to simply subtracting the mean and not dividing by the std, and now the pca function does return a 813 x 22 coeff I was looking for. I just don’t know why?So I would like to conduct PCA on a dataset I have that is of sample size 23 and feature size 813 (nxp = 23×813). However, when I run the pca function, the coeff variable returned is blank. why is this the case? I am aware my sample size: feature size ratio is very low, but the function returned a 813×22 coefficient matrix when I ran it on my data before I processed it (transformed nonnormally distributed data & feature scaling) so I know it is not because of unsuitable data size.
I have attached a copy of the data I am trying to use if anyone is able to help; thanks!
[coeff, ~, latent] = pca(deltaEBC);
UPDATE: I was feature scaling by taking feature X, subtracting the mean of X, and dividing by the standard deviation of X. I changed this to simply subtracting the mean and not dividing by the std, and now the pca function does return a 813 x 22 coeff I was looking for. I just don’t know why? So I would like to conduct PCA on a dataset I have that is of sample size 23 and feature size 813 (nxp = 23×813). However, when I run the pca function, the coeff variable returned is blank. why is this the case? I am aware my sample size: feature size ratio is very low, but the function returned a 813×22 coefficient matrix when I ran it on my data before I processed it (transformed nonnormally distributed data & feature scaling) so I know it is not because of unsuitable data size.
I have attached a copy of the data I am trying to use if anyone is able to help; thanks!
[coeff, ~, latent] = pca(deltaEBC);
UPDATE: I was feature scaling by taking feature X, subtracting the mean of X, and dividing by the standard deviation of X. I changed this to simply subtracting the mean and not dividing by the std, and now the pca function does return a 813 x 22 coeff I was looking for. I just don’t know why? pca MATLAB Answers — New Questions

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