Showing 2026Show all
2 papers · 1 filter
stat.ME2026
A Geometry-Aware Framework for Clustering Cylindrical Data
Giuseppe Pandolfo, Luca Coraggio, Antonio D'Ambrosio
Cylindrical data pair an angle with a linear measurement. Clustering that ignores the periodicity of the angle breaks up groups lying across its origin. We formulate the K-means al…
stat.ME2026
Local depth-based classification of directional data
Giuseppe Gismondi, Rebecca Rivieccio, Giuseppe Pandolfo
Directional data arise in many applications where observations are naturally represented as unit vectors or as observations on the surface of a unit hypersphere. In this context, s…