A novel deep clustering method and indicator for time series soft partitioning

HIGHLIGHTS

  • who: Alexandre Eid and colleagues from the University Lyon, Université Claude Bernard Lyon, INSA Lyon, École Centrale de Lyon CNRS, Ampère have published the paper: A Novel Deep Clustering Method and Indicator for Time Series Soft Partitioning, in the Journal: Energies 2021, 14, 5530. of /2021/
  • what: A new dataset is generated with a field-specific bias to help the convergence of the training to the study goal. A study is carried out to determine the best learning hyper-parameters.
  • how: In the work a similar approach is used for visualizing time . . .

     

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