I am working with a data set of over 3000 points which I need to cluster/group based on a distance criteria.
What I would like to do is build clusters from the point data which contain the maximum number of points possible to group in a 50 m radius. To be clear I don't want to group any points that are within 50 m of each other.
The way I envisage it is taking a 50 m radius polygon and centring it one by one over each point and counting how many other points fall inside the polygon. At a simple level this would return a value for each point saying how many points are within 50 m of it. I could then choose groups based on which points return the most other points with 50 m.
I would however like to be even more iterative than this as doing the above does exclude a point falling in multiple 50 m polygons. I would like a process which looks over the data and provides the most inclusive 50 m clusters for the data set as a whole.
I'm not sure if QGIS has a tool which could do this at all or whether I should look to develop a process in Excel or elsewhere.