R: Normalized mutual information (NMI)

NMI {aricode} | R Documentation

## Normalized mutual information (NMI)

### Description

A function to compute the NMI between two classifications

### Usage

    NMI(c1, c2, variant = c("max", "min", "sqrt", "sum", "joint"))

### Arguments

`c1` | a vector containing the labels of the first classification. Must be a vector of characters, integers, numerics, or a factor, but not a list.
`c2` | a vector containing the labels of the second classification.
`variant` | a string in ("max", "min", "sqrt", "sum", "joint"): different variants of NMI. Default use "max".

### Value

a scalar with the normalized mutual information .

### See Also

`RI`, `NID`, `NVI`, `ARI`, `clustComp`

### Examples

    data(iris)
    cl <- cutree(hclust(dist(iris[,-5])), 4)
    NMI(cl,iris$Species)

[Package aricode version 1.0.0 Index]