3 papers
stat.ME2026
Automatic depth-based local center clustering via -integrated local depth and adaptive grouping
Siyi Wang, Alexandre Leblanc, Paul D. McNicholas
Clustering is an unsupervised learning technique that partitions unlabeled data into groups. Most existing methods require user-specified parameters, such as the number of clusters…
math.ST2025
-integrated local depth and corresponding partitioned local depth representation
Siyi Wang, Alexandre Leblanc, Paul D. McNicholas
A novel local depth definition, -integrated local depth (-ILD), is proposed as a generalization of the local depth introduced by Paindaveine and Van Bever \cite{paindaveine20…
stat.ME2025
Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios
Siyi Wang, Alexandre Leblanc, Paul D. McNicholas
Cluster analysis, or clustering, plays a crucial role across numerous scientific and engineering domains. Despite the wealth of clustering methods proposed over the past decades, e…