Cal_NMI: calculate the normalized mutual information.
In M2SMF: Multi-Modal Similarity Matrix Factorization for Integrative Multi-Omics Data Analysis

calculate the normalized mutual information of two vectors x and y.

1	Cal_NMI(x, y)

`x`	A vector
`y`	A vector as long as x

A number between 0 and 1 indicating the normalized mutual information

Xiaoyao Yin

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x <- c(0.1,0.2,0.3,0.4)
y <- c(0.1,0.2,0.3,0.4)
NMI <- Cal_NMI(x,y)

M2SMF documentation built on Jan. 11, 2020, 9:28 a.m.

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