Tsclust

R package TSclust: Time Series Clustering Utilities. A set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics.


References in zbMATH (referenced in 14 articles , 1 standard article )

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  1. Chen, Tianbo; Sun, Ying; Euan, Carolina; Ombao, Hernando: Clustering brain signals: a robust approach using functional data ranking (2021)
  2. D’Urso, Pierpaolo; García-Escudero, Luis A.; De Giovanni, Livia; Vitale, Vincenzina; Mayo-Iscar, Agustín: Robust fuzzy clustering of time series based on B-splines (2021)
  3. Fernández-Durán, Juan José; Gregorio-Domínguez, María Mercedes: Consumer segmentation based on use patterns (2021)
  4. Lafuente-Rego, B.; D’Urso, P.; Vilar, J. A.: Robust fuzzy clustering based on quantile autocovariances (2020)
  5. Landaluce-Calvo, M. Isabel; Modroño-Herrán, Juan I.: Classification for time series data. An unsupervised approach based on reduction of dimensionality (2020)
  6. Alonso, Andrés M.; Peña, Daniel: Clustering time series by linear dependency (2019)
  7. Teichgraeber, H., Kuepper, L.,Brandt, A.: TimeSeriesClustering: An extensible framework in Julia (2019) not zbMATH
  8. Aslan, Sipan; Yozgatligil, Ceylan; Iyigun, Cem: Temporal clustering of time series via threshold autoregressive models: application to commodity prices (2018)
  9. Euán, Carolina; Ombao, Hernando; Ortega, Joaquín: The hierarchical spectral merger algorithm: a new time series clustering procedure (2018)
  10. Vilar, José A.; Lafuente-Rego, Borja; D’Urso, Pierpaolo: Quantile autocovariances: a powerful tool for hard and soft partitional clustering of time series (2018)
  11. Whitfield, Paul H.: Clustering of seasonal events: a simulation study using circular methods (2018)
  12. Lafuente-Rego, Borja; Vilar, José A.: Clustering of time series using quantile autocovariances (2016)
  13. Andreas M. Brandmaier: pdc: An R Package for Complexity-Based Clustering of Time Series (2015) not zbMATH
  14. Pablo Montero; José Vilar: TSclust: An R Package for Time Series Clustering (2014) not zbMATH