Getting same values for first column of kernel-PCA

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So I have a dataset of 36 features x 57 observations
I'm using this file-exchange code for kernel-PCA.
For some reason, I'm getting the exact same value in the first principle component. Just a line of code:
projected_data = kernelpca_tutorial(handles.all_data, 3);
Anyone else run into this issue?

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Help CenterFile Exchange 中查找有关 Dimensionality Reduction and Feature Extraction 的更多信息

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R2013b

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