Location Clustering

[nxfxcom]

Hello,

I have a table with about 6000 events in a small neighborhood with LatLong data. What’s the easiest to cluster this into smaller subgroups?

Thank you

[victor_palacios]

Hello, you may find this workflow helpful. You can find other workflows like this on the KNIME Hub.

Clustering - Solution – hayasaka

[qqilihq]

For clustering geo data with lat/long coordinates, have a look at the following forum thread:

How to find agglomeration areas through DBScan?

Hi, I have a dataset from customers with their names, postal codes, lat and lon. I want to find agglomeration areas. These customers are in Germany. With DBScan, I want to say, if in a radius of 10km exists 5 customers, than is it an agglomeration area. My main problem is, that the customers are is given with lat and lon and through this, I cant make the correct radius epsilon. How can I solve this problem?

With the Geo Distances node you can determine distances between your locations and feed this to a clustering node such as DBSCAN or Hierarchical Clustering (DistMatrix).

Hope this helps!

[edit] Just found an old workflow which I built ages ago:

Palladian_Geocoder_Pizzerias — NodePit

Buon appetito!