Hi. I've done some hierarchical clustering on a graph using cosine similarity on nodes:
library(lsa) # get adj matrix A = get.adjacency(g, sparse=FALSE) # cosine similarity S = cosine(A) # distance matrix D = 1-S # distance object d = as.dist(D) # average-linkage clustering method cc = hclust(d, method = "average") I would like to convert the hclust object to a community object corresponding to the community structure with maximum modularity among the different cuts of the dendrogram. Is there a way to do this? Thanks. Massimo Franceschet _______________________________________________ igraph-help mailing list [email protected] https://lists.nongnu.org/mailman/listinfo/igraph-help
