David P. Hofmeyr

23 papers A* 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bags of Projected Nearest Neighbours: Competitors to Random Forests? CoRR David P. Hofmeyr
2025	J	`jnl`	Bags of Projected Nearest Neighbours: Competitors to Random Forests? Trans. Mach. Learn. Res. David P. Hofmeyr
2025	J	`jnl`	Clustering by Nonparametric Smoothing. CoRR David P. Hofmeyr
2025	J	`jnl`	Nearest Neighbour Equilibrium Clustering. CoRR David P. Hofmeyr
2024	J	`jnl`	Optimal Projections for Classification with Naive Bayes. CoRR David P. Hofmeyr, Francois Kamper, Michail C. Melonas
2023	J	`jnl`	Incremental estimation of low-density separating hyperplanes for clustering large data sets. Pattern Recognit. David P. Hofmeyr
2023	J	`jnl`	Optimal projections for Gaussian discriminants. Adv. Data Anal. Classif. David P. Hofmeyr, Francois Kamper, Michail C. Melonas
2022	J	`jnl`	Fast Kernel Smoothing in R with Applications to Projection Pursuit. J. Stat. Softw. David P. Hofmeyr
2021	J	`jnl`	Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes. CoRR David P. Hofmeyr
2021	J	`jnl`	Fast Exact Evaluation of Univariate Kernel Sums. IEEE Trans. Pattern Anal. Mach. Intell. David P. Hofmeyr
2020	J	`jnl`	Connecting Spectral Clustering to Maximum Margins and Level Sets. J. Mach. Learn. Res. David P. Hofmeyr
2020	J	`jnl`	Degrees of freedom and model selection for k-means clustering. Comput. Stat. Data Anal. David P. Hofmeyr
2019	J	`jnl`	Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. Stat. Comput. David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2019	J	`jnl`	PPCI: an R Package for Cluster Identification using Projection Pursuit. R J. David P. Hofmeyr, Nicos G. Pavlidis
2018	J	`jnl`	Connecting Spectral Clustering to Maximum Margins and Level Sets. CoRR David P. Hofmeyr
2018	J	`jnl`	Degrees of Freedom and Model Selection for kmeans Clustering. CoRR David P. Hofmeyr
2017	J	`jnl`	Clustering by Minimum Cut Hyperplanes. IEEE Trans. Pattern Anal. Mach. Intell. David P. Hofmeyr
2016	J	`jnl`	Divisive clustering of high dimensional data streams. Stat. Comput. David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
2016	J	`jnl`	Minimum Density Hyperplanes. J. Mach. Learn. Res. Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
2016	A*	`conf`	On the Topology of Genetic Algorithms. IJCAI David P. Hofmeyr
2015	—	`conf`	Maximum Clusterability Divisive Clustering. SSCI David P. Hofmeyr, Nicos G. Pavlidis
2015	J	`jnl`	Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. CoRR Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
2015	J	`jnl`	Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. CoRR David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley