randnet: NMI – R documentation

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NMI

calculates normalized mutual information

calculates normalized mutual information, a metric that is commonly used to compare clustering results

NMI(g1, g2)

`g1`	a vector of cluster labels
`g2`	a vector of cluster labels (same length as g1)

NMI value

Tianxi Li, Elizaveta Levina, Ji Zhu
Maintainer: Tianxi Li tianxili@umich.edu

dt <- BlockModel.Gen(30,300,K=3,beta=0.2,rho=0.9,simple=FALSE,power=TRUE)


A <- dt$A


ssc <- reg.SSP(A,K=3,lap=TRUE)

NMI(ssc$cluster,dt$g)

Random Network Model Selection and Parameter Tuning

v0.2

GPL (>= 2)

Authors

Tianxi Li, Elizaveta Levina, Ji Zhu

Initial release

2019-02-10