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how to display the eigenvectors in a Principal Component Analysis

Hello,

I'm applying a Generalized Hebian Algorithm (GHA) to compute a PCA on text data. I get the data represented in the new vector space (the component of the texts in the new vector space) but I don't know how to get the eigenvectors expressed in the old vector space (the terms space).
Can someone help me?
Thanks a lot

Barthélémy

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land

Hi,
as indicated in the other thread this has been a bug. It's fixed now and will be delivered with the next update.

Greetings,
Sebastian

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