Seeing Time: Visual-Temporal Representation Learning for Interpretable Time Series Clustering
Multivariate Time Series (MTS) clustering is an important tool in temporal data mining, aiming to discover latent group structures from complex observations without supervision. Although existing deep clustering methods can learn discriminative temporal representations, the resulting latent clusters are often difficult...
Zheng Zhu, Ze-Xi Tan, Yu-Ming Deng et al.
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