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I have a dataset that contains n features scaled between [0,1]. I would use an unsupervised feature selection algorithm (entropy-based) by attributing a score for each feature. How can I do this with python?

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  • $\begingroup$ Afaik unsupervised feature selection is not very common. Do you mean by just using the entropy of an individual feature? Or do you have a more advanced method in mind? $\endgroup$ – Erwan Jan 8 at 11:54