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Research

Dr David Hofmeyr

Senior Lecturer in Statistics

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  1. Published

    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 Journal/Magazine › Journal article › peer-review

  2. Published

    Semi-supervised Spectral Connectivity Projection Pursuit

    Hofmeyr, D. & Pavlidis, N. G., 25/11/2015, Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2015 . IEEE, p. 201-206 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Maximum Clusterability Divisive Clustering

    Hofmeyr, D. & Pavlidis, N. G., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 780-786 7 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Projection methods for clustering and semi-supervised classification

    Hofmeyr, D., 2016, Lancaster University. 233 p.

    Research output: Thesis › Doctoral Thesis

  5. Published

    PPCI: an R Package for Cluster Identification using Projection Pursuit

    Hofmeyr, D. & Pavlidis, N., 27/12/2019, In: The R Journal.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  6. Published

    Incremental estimation of low-density separating hyperplanes for clustering large data sets

    Hofmeyr, D. P., 31/07/2023, In: Pattern Recognition. 139, 109471.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Optimal Projections for Classification with Naive Bayes

    Hofmeyr, D., Kamper, F. & Melonas, M. C., 2024, arXiv: Arxiv.

    Research output: Working paper › Preprint

  8. Published

    Minimum Density Hyperplanes

    Pavlidis, N. G., Hofmeyr, D. & Tasoulis, S., 28/09/2016, In: Journal of Machine Learning Research. 17, 156, p. 1-33 33 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning

    van der Westhuizen, S., Heuvelink, G. B. M., Hofmeyr, D. P., Poggio, L., Nussbaum, M. & Brungard, C., 31/10/2024, In: European Journal of Soil Science. 75, 5, e13589.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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