3 papers
cs.CG2026
Proximity Alert: Ipelets for Neighborhood Graphs and Clustering
Gitan Balogh, June Cagan, Bea Fatima +6
Neighborhood graphs and clustering algorithms are fundamental structures in both computational geometry and data analysis. Visualizing them can help build insight into their behavi…
cs.CG2026
Classifiers in High Dimensional Hilbert Metrics
Aditya Acharya, Auguste H. Gezalyan, David M. Mount
Classifying points in high dimensional spaces is a fundamental geometric problem in machine learning. In this paper, we address classifying points in the -dimensional Hilbert po…
cs.CG2025
Evolving Distributions Under Local Motion
Aditya Acharya, David M. Mount
Geometric data sets arising in modern applications are often very large and change dynamically over time. A popular framework for dealing with such data sets is the evolving data f…