diff --git a/README.md b/README.md index d27bc99..e42bc23 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ 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. -![](fig/overview.pdf) +![](fig/overview.png) ## 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 deleted file mode 100644 index 4acfe8d..0000000 Binary files a/fig/overview.pdf and /dev/null differ diff --git a/fig/overview.png b/fig/overview.png new file mode 100644 index 0000000..76320a7 Binary files /dev/null and b/fig/overview.png differ