3 papers
cs.LG2025
Hyperbolic Gaussian Blurring Mean Shift: A Statistical Mode-Seeking Framework for Clustering in Curved Spaces
Arghya Pratihar, Arnab Seal, Swagatam Das +1
Clustering is a fundamental unsupervised learning task for uncovering patterns in data. While Gaussian Blurring Mean Shift (GBMS) has proven effective for identifying arbitrarily s…
cs.LG2025
Learning from Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges
Kushal Bose, Swagatam Das
Graph heterophily poses a formidable challenge to the performance of Message-passing Graph Neural Networks (MP-GNNs). The familiar low-pass filters like Graph Convolutional Network…
cs.LG2025
Hyperbolic Fuzzy C-Means with Adaptive Weight-based Filtering for Efficient Clustering
Swagato Das, Arghya Pratihar, Swagatam Das
Clustering algorithms play a pivotal role in unsupervised learning by identifying and grouping similar objects based on shared characteristics. Although traditional clustering tech…