Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features

Scott A. Bruce

Open source

DOI: 10.4310/22-sii755
Published: 2023
Container: Statistics and Its Interface
Publisher: International Press of Boston
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.4310/22-sii755,
  title = {Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features},
  author = {Scott A. Bruce},
  year = {2023},
  journal = {Statistics and Its Interface},
  doi = {10.4310/22-sii755},
  url = {https://doi.org/10.4310/22-sii755}
}

RIS

TY  - JOUR
TI  - Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features
AU  - Scott A. Bruce
PY  - 2023
JO  - Statistics and Its Interface
DO  - 10.4310/22-sii755
UR  - https://doi.org/10.4310/22-sii755
ER  -

APA

Bruce, S. A. (2023). Adaptive clustering and feature selection for categorical time series using interpretable frequency-domain features. Statistics and Its Interface. https://doi.org/10.4310/22-sii755

Source records

crossref · retrieved 2026-09-25T18:59:00.255Z