Web: https://www.reddit.com/r/MachineLearning/comments/scdxnm/r_dimensionality_reduction_techniques_for/

Jan. 25, 2022, 1:37 p.m. | /u/jacksodus

Machine Learning reddit.com

The title is quite a mouthful, but I'm trying to learn about how a multivariate (high dimensional) time series can be reduced to a lower amount of time series to be used in regression. In the same way that an image can be compressed into a smaller latent space using Autoencoders, I am trying to read up on how these N signals can be compressed into n<<N more salient signals. Say you had 100 EMG signals, what techniques are there …

machinelearning time time series

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