Creating a co-clustering for the edge node triangle adjancy matrix in R/Python -


I have the following edges (rows) node (coles) triangle adjoint matrix in which we have one entry in each side is a triangle I want to co-clustering on this matrix (but as you see it is not a traditional and matrix). Anyone else have already some cocklesting functions in R? I know that the Colecler Function was included in the code in the BlockCluster but a well-presented example was not available to work with it. Python / R code / package should work for me.

Here is the graph 

  Library (igraph) set.seed (1) g

** callcluster function does not work on this matrix, even after this I made it a standard matrix. So I'm not sure whether I can do either on the edge-node triangle adjacency matrix or not just on the matlocks or on the standard flatness matrix. Please ask questions before deciding to vote or stop this question, and I will try to expand as much as possible.

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