Deep Time-Series Clustering: A Review

DOI Web Site 1 Citations
  • Ali Alqahtani
    Center for Artificial Intelligence (CAI), King Khalid University, Abha 61421, Saudi Arabia
  • Mohammed Ali
    Department of Computer Science, King Khalid University, Abha 61421, Saudi Arabia
  • Xianghua Xie
    Department of Computer Science, Swansea University, Swansea SA1 8EN, UK
  • Mark W. Jones
    Department of Computer Science, Swansea University, Swansea SA1 8EN, UK

Description

<jats:p>We present a comprehensive, detailed review of time-series data analysis, with emphasis on deep time-series clustering (DTSC), and a case study in the context of movement behavior clustering utilizing the deep clustering method. Specifically, we modified the DCAE architectures to suit time-series data at the time of our prior deep clustering work. Lately, several works have been carried out on deep clustering of time-series data. We also review these works and identify state-of-the-art, as well as present an outlook on this important field of DTSC from five important perspectives.</jats:p>

Journal

  • Electronics

    Electronics 10 (23), 3001-, 2021-12-02

    MDPI AG

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