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David Hofmeyr
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Minimum Density Hyperplanes
N Pavlidis, D Hofmeyr, S Tasoulis
Journal of Machine Learning Research 17 (156), 1-33, 2016
352016
Clustering by minimum cut hyperplanes
DP Hofmeyr
IEEE transactions on pattern analysis and machine intelligence 39 (8), 1547-1560, 2016
322016
Degrees of freedom and model selection for k-means clustering
DP Hofmeyr
Computational Statistics & Data Analysis 149, 106974, 2020
242020
Multivariate random forest for digital soil mapping
S van der Westhuizen, GBM Heuvelink, DP Hofmeyr
Geoderma 431, 116365, 2023
222023
Measurement error-filtered machine learning in digital soil mapping
S van der Westhuizen, GBM Heuvelink, DP Hofmeyr, L Poggio
Spatial Statistics 47, 100572, 2022
172022
Maximum clusterability divisive clustering
D Hofmeyr, N Pavlidis
2015 IEEE symposium series on computational intelligence, 780-786, 2015
142015
Improving spectral clustering using the asymptotic value of the normalized cut
DP Hofmeyr
Journal of Computational and Graphical Statistics 28 (4), 980-992, 2019
132019
PPCI: an R Package for Cluster Identification using Projection Pursuit
D Hofmeyr, N Pavlidis
The R Journal 11 (2), 152-, 2019
112019
Fast exact evaluation of univariate kernel sums
D Hofmeyr
IEEE transactions on pattern analysis and machine intelligence 43 (2), 447 - 458, 2021
102021
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
72016
Fast Kernel Smoothing in R with Applications to Projection Pursuit
DP Hofmeyr
Journal of Statistical Software 101 (3), 1-33, 2022
42022
On the Topology of Genetic Algorithms
D Hofmeyr
International Joint Conference on Artificial Intelligence (IJCAI), 2016
32016
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
22022
Connecting Spectral Clustering to Maximum Margins and Level Sets
DP Hofmeyr
Journal of Machine Learning Research 21 (18), 1--35, 2020
22020
Incremental estimation of low-density separating hyperplanes for clustering large data sets
DP Hofmeyr
Pattern Recognition 139, 109471, 2023
12023
Semi-Supervised Spectral Connectivity Projection Pursuit
D Hofmeyr, N Pavlidis
2015 Pattern Recognition Association of South Africa and Robotics and …, 2015
12015
Optimal projections for Gaussian discriminants
DP Hofmeyr, F Kamper, MC Melonas
Advances in Data Analysis and Classification 17 (1), 43-73, 2023
2023
Getting more from your regression model: A free lunch?
DP Hofmeyr
arXiv preprint arXiv:2203.10459, 2022
2022
Projection Methods for Clustering and Semi-supervised Classification
DP Hofmeyr
PQDT-Global, 2016
2016
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