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There is this paper Representation and Reinforcement Learning for Personalized Glycemic Control in Septic Patients, presented in the Machine Learning for Health Workshop in NIPS 2017. Here is a quote from the paper where the authors describe the clustering approach: After we generated the state representation, we used the k-means clustering algorithm ...


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for the first point I'm very sorry that I cannot give you any literature on this, but I might be able to explain you, why you don't take PCA on both datasets independently. Principal components analysis is simply a transformation of your data into another (less dimensional) coordinate system. The axis for your new coordinate system are defined by the ...


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