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Publications & Outputs

  1. An evolving approach to data streams clustering based on typicality and eccentricity data analytics

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 31/05/2020, In: Information Sciences. 518, p. 13-28 16 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. A randomized neural network for data streams

    Pratama, M., Angelov, P. P., Lu, J., Lughofer, E., Seera, M. & Lim, C. P., 19/05/2017, Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN). USA: IEEE, p. 3423-3430 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. Divisive clustering of high dimensional data streams

    Hofmeyr, D., Pavlidis, N. & Eckley, I., 09/2016, In: Statistics and Computing. 26, 5, p. 1101–1120 20 p.

    Research output: Contribution to journalJournal articlepeer-review