Novel Clustering Algorithm Addresses Data in Curved Spaces
Published:Dec 12, 2025 10:40
•1 min read
•ArXiv
Analysis
This research explores a new clustering algorithm specifically designed for data residing in curved spaces. The use of hyperbolic Gaussian blurring and mean shift techniques suggests a potentially powerful approach to overcoming challenges posed by non-Euclidean data geometries.
Key Takeaways
Reference
“The paper presents a statistical mode-seeking framework for clustering.”