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Thanks for the issue. I am not sure I understand the question. You mean using k-means to select features? or select features to train a k-means algorithm afterwards?
I know that there are some feature selection methods for unsupervised learning, but I am not very familiar with them, so I can't really advice at the moment.
For unsupervised learning, I usually removed correlated features. But that was it.
Hello,
What is the feasibility of doing feature selection with k-means? Would this be a good method in your opinion?
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