Recurrence Triangle Features for Unsupervised Time Series Clustering: Application to Human Gait.

Hasan MM, Hirayama JI, Kobayashi Y, Shiro M

DOI: 10.3390/s26196137
Published: 2026 Sep 28
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26196137,
  title = {Recurrence Triangle Features for Unsupervised Time Series Clustering: Application to Human Gait.},
  author = {Hasan MM and Hirayama JI and Kobayashi Y and Shiro M},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26196137},
  url = {https://doi.org/10.3390/s26196137}
}

RIS

TY  - JOUR
TI  - Recurrence Triangle Features for Unsupervised Time Series Clustering: Application to Human Gait.
AU  - Hasan MM
AU  - Hirayama JI
AU  - Kobayashi Y
AU  - Shiro M
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26196137
UR  - https://doi.org/10.3390/s26196137
ER  -

APA

MM, H., JI, H., Y, K., & M, S. (2026). Recurrence Triangle Features for Unsupervised Time Series Clustering: Application to Human Gait.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26196137

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pubmed · retrieved 2026-11-10T06:40:48.617Z