Has anyone tried a modified clustering method.
What I am trying to do is to map settlement pattern of archaeological sites. The clustering algorithm use Euclidean distances. However what I want to do is to modify the clustering to use cost distance as the distance between the points.
I suspect this will produce different cluster patterns accounting for terrain, road network, and barriers.
Has anyone done this or have any suggestions, do I have go into the unknown by myself
Cheers
How Multivariate Clustering works—ArcGIS Pro | Documentation
How Spatially Constrained Multivariate Clustering works—ArcGIS Pro | Documentation
Do you have an attribute that you could throw into the mix to modify the result? What "cost" are you thinking about? Is there some directionality in your observations?
I have gone the process of doing the QQ process of the of cost distance to all other point (limited search) so I need to create the algorithm to do the next step, I was hoping to avoid this, since I am also .. sort of retired The mathematical brain doesn't work as well as it used to.
... sort of retired the second