3 papers
cs.LG2026
Clustering with Uniformity- and Neighbor-Based Random Geometric Graphs
Rui Shi, Elvan Ceyhan, Nedret Billor
We propose a graph-based clustering method based on Cluster Catch Digraphs (CCDs) that extends their applicability to moderate-dimensional data settings. Existing CCD variants, suc…
stat.ML2025
Outlyingness Scores with Cluster Catch Digraphs
Rui Shi, Elvan Ceyhan, Nedret Billor
This paper introduces two novel, outlyingness scores (OSs) based on Cluster Catch Digraphs (CCDs): Outbound Outlyingness Score (OOS) and Inbound Outlyingness Score (IOS). These sco…
stat.ML2024
Outlier Detection with Cluster Catch Digraphs
Rui Shi, Nedret Billor, Elvan Ceyhan
This paper introduces a novel family of outlier detection algorithms based on Cluster Catch Digraphs (CCDs), specifically tailored to address the challenges of high dimensionality…