calNMI: Calculate the Normalized Mutual Information
In GaoLabXDU/CEPICS: CEPICS: a comparison and evaluation platform for integration methods in cancer subtyping

Calculate the Normalized Mutual Information of the clustering results.

1	calNMI(a, b)

`a`	A vector that contains the cluster label of each sample.
`b`	A vector that contains the true label of each sample.

A real number that means the normalized mutual information between the two clustering results.

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a=c(1,3,2,2,4,6,5)
b=c(3,1,2,5,6,4,3)
calNMI(a,b)

GaoLabXDU/CEPICS documentation built on June 9, 2020, 2:31 a.m.

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