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lonelyrascal t1_j7vwy0c wrote

PCA has O(n^3) time complexity. Instead of doing that, why don't you pass the embedding through an autoencoder?

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zanzagaes2 OP t1_j7w5sr1 wrote

I will try encoder-decoder architecture, mainly to try to improve the embedding. Right now asymptotics of PCA have not proven a problem, sklearn implementation performs PCA on ~1.000 features vectors almost immediately.

Do you have any reference on any encoder-decoder architecture I can use?

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lonelyrascal t1_j7wp5yv wrote

Ok cool. Yeah keras has basic encoder decoder architecture in its documentation. If that's not something you like, you can always ask chatGPT ;)

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