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Clustering driver behavior using dynamic time warping and hidden Markov model

Research article (Journal of Intelligent Transportation Systems, 2019) · cited 71× · AI/ML
academia openalex:W2967118105
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Clustering driver behavior using dynamic time warping and hidden Markov model

Summary

Clustering driver behavior using dynamic time warping and hidden Markov model is a scholarly article[1].

Key Facts

  • Clustering driver behavior using dynamic time warping and hidden Markov model's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Clustering driver behavior using dynamic time warping and hidden Markov model. Retrieved May 24, 2026, from https://4ort.xyz/entity/clustering-driver-behavior-using-dynamic-time-warping-and-hidden-markov-model
MLA “Clustering driver behavior using dynamic time warping and hidden Markov model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/clustering-driver-behavior-using-dynamic-time-warping-and-hidden-markov-model.
BibTeX @misc{4ortxyz_clustering-driver-behavior-using-dynamic-time-warping-and-hidden-markov-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Clustering driver behavior using dynamic time warping and hidden Markov model}}, year = {2026}, url = {https://4ort.xyz/entity/clustering-driver-behavior-using-dynamic-time-warping-and-hidden-markov-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Clustering driver behavior using dynamic time warping and hidden Markov model — https://4ort.xyz/entity/clustering-driver-behavior-using-dynamic-time-warping-and-hidden-markov-model (retrieved 2026-05-24)

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