spatialcluster
                                
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                        spatially-constrained clustering in R
Hi @mpadge it is an excellent package, but I have some questions and I would like to read more references or applications about this. Best regards. Antony
The C++ code in `full_merge.cpp` does not yet implement that maximal value method needed for covariance clusters. That needs to be finished for #21
Here's one for you @mdsumner : This is a spatial clustering package that uses bog-standard Delaunay triangulation. The first figure on current `README` illustrates the problems with this: the 2...
See cross-issue [here](https://github.com/Nowosad/sabre/issues/4)
This is already implicit in the exact method, but probably good to enable explicit outcome as simple "correlation clusters" - see [wikipedia article](https://en.m.wikipedia.org/wiki/Correlation_clustering)
Also include a `zero_is_na = FALSE` arg, and dump a message if changed about the danger of including zeros in covariance calculations,
Move current vignette to different repo for manuscript-to-be-published and re-write a more usable vignette
The initial procedure often generates very large clusters, utlimately resulting in singly dnominant clusters. These initial clusters should be decomposed in an initial step so that all clusters are only...