VoCC: Vortex Correlation Clustering Based on Masked Hough Transformation in Spatial Databases
Nelson Tavares de Sousa, Yannick Wölker, Matthias Renz, Arne Biastoch · 2023
A special focus in data mining is to identify agglomerations of data points in spatial or spatio-temporal databases. Multiple applications have been presented to make use of such clustering algorithms. However, applications exist, where not only dense areas have to be identified, but also requirements regarding the correlation of the cluster to a specific shape must be met, i.e. circles. This is the case for eddy detection in marine science, where eddies are not only specified by their density, but also their circular-shaped rotation. Traditional clustering algorithms lack the ability to take such aspects into account.