Normalized mutual information (NMI)
A function to compute the NMI between two classifications
NMI(c1, c2, variant = c("max", "min", "sqrt", "sum", "joint"))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". |
a scalar with the normalized mutual information .
data(iris) cl <- cutree(hclust(dist(iris[,-5])), 4) NMI(cl,iris$Species)
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