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Hi Justin
Thank you for this inspiring implementation.
I was wondering why you added an argument to normalize the rows of the the incoming data matrix instead of columns as in the vanilla pca? I could now find a hint for this in the paper. https://github.com/xinging-birds/AManPG/blob/7566b947982016a722ef9e4ec2e2206458065cae/Python/sparsepca/sparsepca.py#L35-L36
https://github.com/xinging-birds/AManPG/blob/7566b947982016a722ef9e4ec2e2206458065cae/Python/sparsepca/sparsepca.py#L285-L303
Thanks in advance!
The text was updated successfully, but these errors were encountered:
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Hi Justin
Thank you for this inspiring implementation.
I was wondering why you added an argument to normalize the rows of the the incoming data matrix instead of columns as in the vanilla pca? I could now find a hint for this in the paper.
https://github.com/xinging-birds/AManPG/blob/7566b947982016a722ef9e4ec2e2206458065cae/Python/sparsepca/sparsepca.py#L35-L36
https://github.com/xinging-birds/AManPG/blob/7566b947982016a722ef9e4ec2e2206458065cae/Python/sparsepca/sparsepca.py#L285-L303
Thanks in advance!
The text was updated successfully, but these errors were encountered: