kmeansU function

K-mean clustering of latent node positions

kmeansU(out, R = 2, n.cluster = 3, layer = 1, main = "")

Arguments

• out: Output of networkchange objects.
• R: Number of latent space dimensions
• n.cluster: Number of latent cluster
• layer: Layer id for the cluster analysis
• main: Title

Returns

A plot object

Examples

## Not run:
set.seed(1973)
   ## generate an array with two constant blocks
   Y <- MakeBlockNetworkChange(n=10, shape=10, T=10, type ="constant")
   out0 <- NetworkStatic(Y, R=2, mcmc=10, burnin=10,
   verbose=10, UL.Normal = "Orthonormal")
   ## latent node positions
   kmeansU(out0)
## End(Not run)