labelCluster {epca} | R Documentation |
Label Cluster
Description
Assign cluster labels to each row from the membership matrix.
Usage
labelCluster(x, ties.method = "random")
Arguments
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.
|
ties.method |
character , how should ties be handled, "random", "first", "last" are allowed. See base::rank() for details.
|
Value
integer
vector of the same length as x
. Each entry is one of 1, 2, ..., ncol(x)
.
[Package
epca version 1.1.0
Index]