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[Q] Is normalization needed before running mRSC
Hi,
Thanks for making available your implementation of mRSC! Given that multidimensional timeseries can have different scales, is it needed/beneficial in theory to perform normalization before feeding in the data?
Yes normalization always helps, it allows you to weigh different metrics appropriately.
@vishalmisra would there be a recommended way of doing normalization over the multivariate timeseries? Normalization can introduce biases in the data and the relationships the algorithm is trying to learn.