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Results for Clustering

Publications & Outputs

  1. The colours of comfort: From thermal sensation to person-centric thermal zones for adaptive building strategies

    Gauthier, S., Bourikas, L., Al‐Atrash, F., Bae, C., Chun, C., de Dear, R., Hellwig, R. T., Kim, J., Kwon, S., Mora, R., Pandya, H., Rawal, R., Tartarini, F., Upadhyay, R. & Wagner, A., 1/06/2020, In : Energy and Buildings. 216, 109936.

    Research output: Contribution to journalJournal article

  2. Encrypted Video Traffic Clustering Demystified

    Dvir, A., Marnerides, A., Dubin, R., Golan, N. & Hajaj, C., 31/05/2020, In : Computers and Security.

    Research output: Contribution to journalJournal article

  3. Hybrid WGWO: whale grey wolf optimization-based novel energy-efficient clustering for EH-WSNs

    Rathore, R. S., Sangwan, S., Prakash, S., Adhikari, K., Kharel, R. & Cao, Y., 14/05/2020, In : EURASIP Journal on Wireless Communications and Networking. 2020, 1, 28 p., 101.

    Research output: Contribution to journalJournal article

  4. Modelling the clustering of extreme events for short-term risk assessment

    Towe, R., Tawn, J., Eastoe, E. & Lamb, R., 31/03/2020, In : Journal of Agricultural, Biological, and Environmental Statistics. 25, 1, p. 32-53 22 p.

    Research output: Contribution to journalJournal article

  5. Evaluation and selection of clustering methods using a hybrid group MCDM

    Barak, S. & Mokfi, T., 30/12/2019, In : Expert Systems with Applications. 138, 19 p., 112817.

    Research output: Contribution to journalJournal article

  6. Multi-wavelength Properties of Radio- and Machine-learning-identified Counterparts to Submillimeter Sources in S2COSMOS

    An, F. X., Simpson, J. M., Smail, I., Swinbank, A. M., Ma, C., Liu, D., Lang, P., Schinnerer, E., Karim, A., Magnelli, B., Leslie, S., Bertoldi, F., Chen, C-C., Geach, J. E., Matsuda, Y., Stach, S. M., Wardlow, J. L., Gullberg, B., Ivison, R. J., Ao, Y. & 19 others, Coogan, R. T., Thomson, A. P., Chapman, S. C., Wang, R., Wang, W-H., Yang, Y., Asquith, R., Bourne, N., Coppin, K., Hine, N. K., Ho, L. C., Hwang, H. S., Kato, Y., Lacaille, K., Lewis, A. J. R., Oteo, I., Scholtz, J., Sawicki, M. & Smith, D., 19/11/2019, In : The Astrophysical Journal. 886, 1, 18 p., 48.

    Research output: Contribution to journalJournal article

  7. A novel cluster HAR-type model for forecasting realized volatility

    Yao, X., Izzeldin, M. & Li, Z., 1/10/2019, In : International Journal of Forecasting. 35, p. 1318-1331 14 p.

    Research output: Contribution to journalJournal article

  8. Self-organised direction aware data partitioning algorithm

    Gu, X., Angelov, P. P., Kangin, D. & Principe, J., 01/2018, In : Information Sciences. 423, p. 80-95 16 p.

    Research output: Contribution to journalJournal article

  9. Fully online clustering of evolving data streams into arbitrarily shaped clusters

    Hyde, R., Angelov, P. & MacKenzie, A. R., 03/2017, In : Information Sciences. 382-383, p. 96-114 19 p.

    Research output: Contribution to journalJournal article

  10. Advanced analysis and visualisation techniques for atmospheric data

    Hyde, R. W., 2017, Lancaster University. 226 p.

    Research output: ThesisDoctoral Thesis

  11. 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 article

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