Data science analysis of Vassiliev invariants and knot similarity based on distributed machine learning

Huo, Chenggang (2023) Data science analysis of Vassiliev invariants and knot similarity based on distributed machine learning. EAI Endorsed Transactions on Scalable Information Systems.

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Abstract

INTRODUCTION: Knot theory has a long history, and as a branch of topology, it has received extensive attention. At present, the scientific analysis of data based on the similarity of Vassiliev invariants and knots under machine learning technology is the focus of the mathematical community. However,

Item Type: Article
Date Deposited: 04 Mar 2026 16:37
Last Modified: 11 Apr 2026 06:54
URI: http://eprints.eai.eu/id/eprint/44613

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