David P. Hofmeyr

According to our database, David P. Hofmeyr authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Incremental estimation of low-density separating hyperplanes for clustering large data sets.

David P. Hofmeyr

Pattern Recognit., July, 2023

Optimal projections for Gaussian discriminants.

David P. Hofmeyr, Francois Kamper, Michail C. Melonas

Adv. Data Anal. Classif., March, 2023

2022

Fast Kernel Smoothing in R with Applications to Projection Pursuit.

David P. Hofmeyr

J. Stat. Softw., 2022

2021

Fast Exact Evaluation of Univariate Kernel Sums.

David P. Hofmeyr

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Clustering Large Data Sets with Incremental Estimation of Low-density Separating Hyperplanes.

David P. Hofmeyr

CoRR, 2021

2020

Connecting Spectral Clustering to Maximum Margins and Level Sets.

David P. Hofmeyr

J. Mach. Learn. Res., 2020

Degrees of freedom and model selection for k-means clustering.

David P. Hofmeyr

Comput. Stat. Data Anal., 2020

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

PPCI: an R Package for Cluster Identification using Projection Pursuit.

David P. Hofmeyr, Nicos G. Pavlidis

R J., 2019

2018

Degrees of Freedom and Model Selection for kmeans Clustering.

David P. Hofmeyr

CoRR, 2018

2017

Clustering by Minimum Cut Hyperplanes.

David P. Hofmeyr

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Divisive clustering of high dimensional data streams.

David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley

Stat. Comput., 2016

Minimum Density Hyperplanes.

Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis

J. Mach. Learn. Res., 2016

On the Topology of Genetic Algorithms.

David P. Hofmeyr

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier.

Nicos G. Pavlidis, David P. Hofmeyr, Sotiris K. Tasoulis

CoRR, 2015

Minimum Spectral Connectivity Projection Pursuit for Unsupervised Classification.

David P. Hofmeyr, Nicos G. Pavlidis, Idris A. Eckley

CoRR, 2015

Maximum Clusterability Divisive Clustering.

David P. Hofmeyr, Nicos G. Pavlidis

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015