Statistics and Its Interface

Volume 16 (2023)

Number 2

Special issue on recent developments in complex time series analysis – Part II

Guest editors: Robert T. Krafty (Emory Univ.), Guodong Li (Univ. of Hong Kong), Anatoly Zhigljavsky (Cardiff Univ.)

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

Pages: 319 – 335

DOI: https://dx.doi.org/10.4310/22-SII755

Author

Scott A. Bruce (Department of Statistics, Texas A&M University, College Station, Tx., U.S.A.)

Keywords

categorical time series, multiple time series, optimal scaling, partitional clustering, spectral envelope, unsupervised learning

2010 Mathematics Subject Classification

Primary 62H30, 62M10, 62M15. Secondary 62H86.

The full text of this article is unavailable through your IP address: 18.223.158.29

Received 18 July 2021

Accepted 29 August 2022

Published 13 April 2023