Maximum Clusterability Divisive Clustering. - David P. Hofmeyr; Nicos G. Pavlidis (SSCI, 2015)

Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (CoRR, 2015)

Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. - Nicos G. Pavlidis; David P. Hofmeyr; Sotiris K. Tasoulis (CoRR, 2015)

On the Topology of Genetic Algorithms. - David P. Hofmeyr (IJCAI, 2016)

Minimum Density Hyperplanes. - Nicos G. Pavlidis; David P. Hofmeyr; Sotiris K. Tasoulis (J. Mach. Learn. Res., 2016)

Divisive clustering of high dimensional data streams. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (Stat. Comput., 2016)

Clustering by Minimum Cut Hyperplanes. - David P. Hofmeyr (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Degrees of Freedom and Model Selection for kmeans Clustering. - David P. Hofmeyr (CoRR, 2018)

PPCI: an R Package for Cluster Identification using Projection Pursuit. - David P. Hofmeyr; Nicos G. Pavlidis (R J., 2019)

Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. - David P. Hofmeyr; Nicos G. Pavlidis; Idris A. Eckley (Stat. Comput., 2019)

Degrees of freedom and model selection for k-means clustering. - David P. Hofmeyr (Comput. Stat. Data Anal., 2020)

Connecting Spectral Clustering to Maximum Margins and Level Sets. - David P. Hofmeyr (J. Mach. Learn. Res., 2020)

Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes. - David P. Hofmeyr (CoRR, 2021)

Fast Exact Evaluation of Univariate Kernel Sums. - David P. Hofmeyr (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Fast Kernel Smoothing in R with Applications to Projection Pursuit. - David P. Hofmeyr (J. Stat. Softw., 2022)

Optimal projections for Gaussian discriminants. - David P. Hofmeyr; Francois Kamper; Michail C. Melonas (Adv. Data Anal. Classif., 2023)

Incremental estimation of low-density separating hyperplanes for clustering large data sets. - David P. Hofmeyr (Pattern Recognit., 2023)

Optimal Projections for Classification with Naive Bayes. - David P. Hofmeyr; Francois Kamper; Michail C. Melonas (CoRR, 2024)

Clustering by Nonparametric Smoothing. - David P. Hofmeyr (CoRR, 2025)

Bags of Projected Nearest Neighbours: Competitors to Random Forests? - David P. Hofmeyr (CoRR, 2025)

Nearest Neighbour Equilibrium Clustering. - David P. Hofmeyr (CoRR, 2025)