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Cross-sectional approach for clustering time varying data

Author

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  • Katarina Košmelj
  • Vladimir Batagelj

Abstract

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Suggested Citation

  • Katarina Košmelj & Vladimir Batagelj, 1990. "Cross-sectional approach for clustering time varying data," Journal of Classification, Springer;The Classification Society, vol. 7(1), pages 99-109, March.
    • Handle: RePEc:spr:jclass:v:7:y:1990:i:1:p:99-109
    DOI: 10.1007/BF01889706
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    Citations

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    Cited by:

    1. Ignacio Benítez & José-Luis Díez, 2022. "Automated Detection of Electric Energy Consumption Load Profile Patterns," Energies, MDPI, vol. 15(6), pages 1-26, March.
    2. Akira Yoshida & Yoshiharu Amano & Noboru Murata & Koichi Ito & Takumi Hasizume, 2013. "A Comparison of Optimal Operation of a Residential Fuel Cell Co-Generation System Using Clustered Demand Patterns Based on Kullback-Leibler Divergence," Energies, MDPI, vol. 6(1), pages 1-26, January.
    3. Coppi, Renato & D'Urso, Pierpaolo, 2006. "Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization," Computational Statistics & Data Analysis, Elsevier, vol. 50(6), pages 1452-1477, March.
    4. Christophe Genolini & Bruno Falissard, 2010. "KmL: k-means for longitudinal data," Computational Statistics, Springer, vol. 25(2), pages 317-328, June.
    5. Dlugosz, Stephan, 2011. "Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series," ZEW Discussion Papers 11-015, ZEW - Leibniz Centre for European Economic Research.
    6. S. Yaser Samadi & L. Billard & M. R. Meshkani & A. Khodadadi, 2017. "Canonical correlation for principal components of time series," Computational Statistics, Springer, vol. 32(3), pages 1191-1212, September.
    7. Anna Magdalena Korzeniowska, 2021. "Heterogeneity of government social spending in European Union countries," Future Business Journal, Springer, vol. 7(1), pages 1-9, December.
    8. Beibei Zhang & Rong Chen, 2018. "Nonlinear Time Series Clustering Based on Kolmogorov-Smirnov 2D Statistic," Journal of Classification, Springer;The Classification Society, vol. 35(3), pages 394-421, October.
    9. Caiado, Jorge & Crato, Nuno & Pena, Daniel, 2006. "A periodogram-based metric for time series classification," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2668-2684, June.
    10. Coppi, Renato & D'Urso, Pierpaolo, 2003. "Three-way fuzzy clustering models for LR fuzzy time trajectories," Computational Statistics & Data Analysis, Elsevier, vol. 43(2), pages 149-177, June.
    11. Dandan Xu & Yang Bian & Jian Rong & Jiachuan Wang & Baocai Yin, 2019. "Study on Clustering of Free-Floating Bike-Sharing Parking Time Series in Beijing Subway Stations," Sustainability, MDPI, vol. 11(19), pages 1-20, September.

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