During reading 'USAD: UnSupervised Anomaly Detection on Multivariate Time Series' paper, to train the autoencoder the authors only used normal datasets. But since this algorithm is used for unsupervised learning, isn't there a chance that a dataset has no label. And if this True, are there solutions to solve this problem?
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