| Minimum Density Hyperplanes N Pavlidis, D Hofmeyr, S Tasoulis Journal of Machine Learning Research 17 (156), 1-33, 2016 | 37 | 2016 |
| Multivariate random forest for digital soil mapping S van der Westhuizen, GBM Heuvelink, DP Hofmeyr Geoderma 431, 116365, 2023 | 34 | 2023 |
| Clustering by minimum cut hyperplanes DP Hofmeyr IEEE transactions on pattern analysis and machine intelligence 39 (8), 1547-1560, 2016 | 34 | 2016 |
| Degrees of freedom and model selection for k-means clustering DP Hofmeyr Computational Statistics & Data Analysis 149, 106974, 2020 | 25 | 2020 |
| Measurement error-filtered machine learning in digital soil mapping S van der Westhuizen, GBM Heuvelink, DP Hofmeyr, L Poggio Spatial Statistics 47, 100572, 2022 | 21 | 2022 |
| Maximum clusterability divisive clustering D Hofmeyr, N Pavlidis 2015 IEEE symposium series on computational intelligence, 780-786, 2015 | 14 | 2015 |
| Improving spectral clustering using the asymptotic value of the normalized cut DP Hofmeyr Journal of Computational and Graphical Statistics 28 (4), 980-992, 2019 | 13 | 2019 |
| Fast exact evaluation of univariate kernel sums D Hofmeyr IEEE transactions on pattern analysis and machine intelligence 43 (2), 447 - 458, 2021 | 12 | 2021 |
| PPCI: an R Package for Cluster Identification using Projection Pursuit D Hofmeyr, N Pavlidis The R Journal 11 (2), 152-, 2019 | 11 | 2019 |
| Minimum spectral connectivity projection pursuit: Divisive clustering using optimal projections for spectral clustering DP Hofmeyr, NG Pavlidis, IA Eckley Statistics and Computing 29, 391-414, 2019 | 10* | 2019 |
| Divisive clustering of high dimensional data streams DP Hofmeyr, NG Pavlidis, IA Eckley Statistics and Computing 26, 1101-1120, 2016 | 7 | 2016 |
| Fast Kernel Smoothing in R with Applications to Projection Pursuit DP Hofmeyr Journal of Statistical Software 101 (3), 1-33, 2022 | 6 | 2022 |
| Connecting Spectral Clustering to Maximum Margins and Level Sets DP Hofmeyr Journal of Machine Learning Research 21 (18), 1--35, 2020 | 3 | 2020 |
| On the Topology of Genetic Algorithms D Hofmeyr International Joint Conference on Artificial Intelligence (IJCAI), 2016 | 3 | 2016 |
| Multivariate mapping of soil organic carbon and nitrogen S van der Westhuizen, DP Hofmeyr, GBM Heuvelink Proceedings of the 17th Conference of the International Federation of …, 2022 | 2 | 2022 |
| Incremental estimation of low-density separating hyperplanes for clustering large data sets DP Hofmeyr Pattern Recognition 139, 109471, 2023 | 1 | 2023 |
| Optimal projections for Gaussian discriminants DP Hofmeyr, F Kamper, MC Melonas Advances in Data Analysis and Classification 17 (1), 43-73, 2023 | 1 | 2023 |
| Semi-Supervised Spectral Connectivity Projection Pursuit D Hofmeyr, N Pavlidis 2015 Pattern Recognition Association of South Africa and Robotics and …, 2015 | 1 | 2015 |
| Optimal Projections for Classification with Naive Bayes DP Hofmeyr, F Kamper, MM Melonas arXiv preprint arXiv:2409.05635, 2024 | | 2024 |
| Mapping soil thickness by accounting for right‐censored data with survival probabilities and machine learning S van der Westhuizen, GBM Heuvelink, DP Hofmeyr, L Poggio, ... European Journal of Soil Science 75 (5), e13589, 2024 | | 2024 |
Nicos PavlidisLancaster UniversityVerified email at lancaster.ac.uk
