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I have profile data points which lie almost on a line (s. picture below)
Is there an easy way / plugin to add an attribute to each point which states to which profile line it belongs?
It should not be very difficult from a mathematical point of view in my opinion?
In other words: I want to create clusters from my points and each cluster should contain the points that belong to one profile line. So that in a second step I can fit a line through each of the profile points
Ok, for now I found a solution:
Clustering points/polygons based on proximity (within specifed distance) using QGIS?
Its not based on statistics, but does what its supposed to!
you can certainly do this with scikit-learn/python and pandas. This tutorial demonstrates how to cluster spatial data with scikit-learn's DBSCAN using the haversine metric, and discusses the benefits over k-means that you touched on in your question.
An example of clustering data points in given in this tutorial.
https://geoffboeing.com/2014/08/clustering-to-reduce-spatial-data-set-size/
