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First of all, congrats on all your super interesting work in the field of OS GIS software, really impressive!
I have been trying out the edge-bundeling for QGIS 3.0 and already have some very interesting results. I saw from your blog and in the repo that for QGIS2 you also have two additional tools, the clustering pre-processing and the summarize. Are you planning or anybody else on porting those as well to QGIS3.0?
I also tried to use the standard k-means clustering in QGIS3.0 prior to the edge-bundeling which seemed to work as well. What is the difference between the standard and your custom k-means clustering?
Best,
Lucas
The text was updated successfully, but these errors were encountered:
Ah yes, I see.. clustering on centroid seems to be quite suboptimal for my use-case. Perhaps I can do k-means clustering twice manually on (1) start-points and (2) end-points, and build new clusters from the permutations. That way the clusters would even take direction into consideration 🤔
I have to see if I can find the time to spend on porting, but I must say I am not familiar with the PyQGIS API.
Hi Anita,
First of all, congrats on all your super interesting work in the field of OS GIS software, really impressive!
I have been trying out the edge-bundeling for QGIS 3.0 and already have some very interesting results. I saw from your blog and in the repo that for QGIS2 you also have two additional tools, the clustering pre-processing and the summarize. Are you planning or anybody else on porting those as well to QGIS3.0?
I also tried to use the standard k-means clustering in QGIS3.0 prior to the edge-bundeling which seemed to work as well. What is the difference between the standard and your custom k-means clustering?
Best,
Lucas
The text was updated successfully, but these errors were encountered: