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A non-official pytorch implementation of the DTC model for time series classification.

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When the code is run to cluster in train_ClusterNET() function and compute Q/P in forward(), the similarity computed based on self.centroids which are always stay the same. Will the centroids...

Does this implementation support multivariate input? For example, I would like to test a multivariate time series dataset from the UCR database (FingerMovements). This data has a size of (316,...