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Dong et al., 2025 - Google Patents

Interpretable sequence clustering

Dong et al., 2025

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Document ID
5198301641507625258
Author
Dong J
Yang X
Jiang M
Hu L
He Z
Publication year
Publication venue
Information Sciences

External Links

Snippet

Categorical sequence clustering is vital across various domains; however, the interpretability of cluster assignments presents considerable challenges. Sequences inherently lack explicit features, and existing sequence clustering algorithms heavily rely on …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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