Assign cluster labels to each row from the membership matrix.
labelCluster(x, ties.method = "random")integer vector of the same length as x. Each entry is one of 1, 2, ..., ncol(x).
matrix with non-negative entries, where x[i,j] is the estimated likelihood (or any equivalent measure) of node i belongs to block j. The higher the more likely.
character, how should ties be handled, "random", "first", "last" are allowed. See base::rank() for details.