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Temporal gap statistic: a new internal index to validate time series clustering

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Publication:2128218
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DOI10.1016/j.chaos.2020.110326zbMath1496.62107OpenAlexW3094405526MaRDI QIDQ2128218

Rosana Guimarães Ribeiro, Ricardo Rios

Publication date: 21 April 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2020.110326


zbMATH Keywords

time seriesclustering validityinternal index


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)



Uses Software

  • clusfind
  • PRMLT


Cites Work

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  • Estimating the Number of Clusters in a Data Set Via the Gap Statistic
  • A new method of detection of coded signals in additive chaos on the example of barker code
  • Robust fuzzy clustering of multivariate time trajectories
  • Quantile autocovariances: a powerful tool for hard and soft partitional clustering of time series
  • GARCH-based robust clustering of time series
  • Independent coordinates for strange attractors from mutual information
  • Finding Groups in Data
  • Least squares quantization in PCM
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