I am working with a high-dimensional time-series dataset. My goal is to find out how much information we have lost after applying a dimensionality reduction technique such as autoencoder. Is there any way that I can utilize to find out the information loss for my dataset after applying autoencoder? Is there any python or R library available for this?
Dear Farzana Anowar
This article might be helpful, have a look:
https://towardsdatascience.com/dimension-reduction-techniques-with-python-f36ca7009e5c
Kind Regards
Qamar Ul Islam
You may find this useful:
https://medium.com/predict/dimensionality-reduction-using-python-principal-component-analysis-fb365f39ae5c
Best regards,
Dalton
You may have a look at the following two articles. These might help :)
https://machinelearningmastery.com/dimensionality-reduction-algorithms-with-python/
https://www.analyticsvidhya.com/blog/2018/08/dimensionality-reduction-techniques-python/
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