Fast large-scale trajectory clustering

Proceedings of the VLDB Endowment, pp. 29-42, 2019.

Cited by: 4|Views40
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Abstract:

In this paper, we study the problem of large-scale trajectory data clustering, k-paths, which aims to efficiently identify k "representative" paths in a road network. Unlike traditional clustering approaches that require multiple data-dependent hyperparameters, k-paths can be used for visual exploration in applications such as traffic mon...More

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