FMMVCC combines Mamba-based encoders with multi-view contrastive learning and fuzzy clustering to achieve state-of-the-art univariate time series clustering with linear computational complexity.
Fuzzy cluster-aware con- trastive clustering for time series,
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FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series
FMMVCC combines Mamba-based encoders with multi-view contrastive learning and fuzzy clustering to achieve state-of-the-art univariate time series clustering with linear computational complexity.