David P. Hofmeyr

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 15

Top Topics

Unsupervised Classification

Spectral Clustering

Eigendecomposition

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

David P. Hofmeyr
Incremental estimation of low-density separating hyperplanes for clustering large data sets. Pattern Recognit. 139 (2023)
David P. Hofmeyr, Francois Kamper, Michail C. Melonas
Optimal projections for Gaussian discriminants. Adv. Data Anal. Classif. 17 (1) (2023)
David P. Hofmeyr
Fast Kernel Smoothing in R with Applications to Projection Pursuit. J. Stat. Softw. 101 (3) (2022)
David P. Hofmeyr
Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes. CoRR (2021)
David P. Hofmeyr
Fast Exact Evaluation of Univariate Kernel Sums. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
David P. Hofmeyr
Degrees of freedom and model selection for k-means clustering. Comput. Stat. Data Anal. 149 (2020)
David P. Hofmeyr
Connecting Spectral Clustering to Maximum Margins and Level Sets. J. Mach. Learn. Res. 21 (2020)
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
Minimum spectral connectivity projection pursuit - Divisive clustering using optimal projections for spectral clustering. Stat. Comput. 29 (2) (2019)
David P. Hofmeyr, Nicos G. Pavlidis
PPCI: an R Package for Cluster Identification using Projection Pursuit. R J. 11 (2) (2019)
David P. Hofmeyr
Connecting Spectral Clustering to Maximum Margins and Level Sets. CoRR (2018)
David P. Hofmeyr
Degrees of Freedom and Model Selection for kmeans Clustering. CoRR (2018)
David P. Hofmeyr
Clustering by Minimum Cut Hyperplanes. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
Divisive clustering of high dimensional data streams. Stat. Comput. 26 (5) (2016)
David P. Hofmeyr
On the Topology of Genetic Algorithms. IJCAI (2016)
Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
Minimum Density Hyperplanes. J. Mach. Learn. Res. 17 (2016)
Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis
Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier. CoRR (2015)
David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley
Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification. CoRR (2015)
David P. Hofmeyr, Nicos G. Pavlidis
Maximum Clusterability Divisive Clustering. SSCI (2015)