Exchange pdf version of the overview figure with the png.

cau-kiel-ai · May 23, 2023 · 5dcaaa6 · 5dcaaa6
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 We introduce in this project the code to the paper **VoCC: Vortex Correlation Clustering based on masked Hough Transformation in Spatial Databases** together with its experiments.  
 
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 ## Vortex Correlation Clustering
 Vortex Correlation Clustering is used to find vortices in two dimensional particles sets which have also a movement vector. For targeted radii the **VoCC** algorithm finds candidates with a Circle Hough Transformation in the two dimensional space and merges them to bigger clusters with our proposed **RDBSCAN** algorithm. This variant of DBSCAN does not need a specified epsilon and uses the radius of each vortex candidate. After identifying vortex candidates we map them back as labels onto the input data.

diff --git a/fig/overview.pdf b/fig/overview.pdf
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