research

Purposed a novel framework for Multivariate Time Series Clustering With Transformer using the learnable representations in latent spaces of Transformer Encoder to achieve superior and efficient clustering re- sults in real-world experiments.

Introducing a novel temporal clustering framework and its applications, guaranteeing optimality and dynamic adaptation of clustering centers and labels across time.