no code implementations • 28 Jan 2024 • Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
By systematically investigating the performance of k-means time series clustering with these two normalization techniques, this paper addresses the current gap in k-means time series clustering evaluation and contributes valuable insights to the development of time series clustering.
no code implementations • 12 Apr 2023 • Ming-Chang Lee, Jia-Chun Lin, Volker Stolz
Without needing to use any normalization method or tune any parameter, NP-Free can generate a representation for a raw time series on the fly by converting each data point of the time series into a root-mean-square error (RMSE) value based on Long Short-Term Memory (LSTM) and a Look-Back and Predict-Forward strategy.
1 code implementation • 20 May 2020 • Faustin Ahishakiye, José Ignacio Requeno Jarabo, Lars Michael Kristensen, Volker Stolz
The contribution of this paper is an approach that establishes a link between coverage analysis known from programming languages and net inscriptions of CPN models.
Software Engineering