entropy: Entropy

In aricode: Efficient Computations of Standard Clustering Comparison Measures

Entropy

Description

A function to compute the empirical entropy for two vectors of classification and the joint entropy

Usage

entropy(c1, c2)

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.

Value

a list with the two conditional entropies, the joint entropy and output of sortPairs.

Examples

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

aricode documentation built on Oct. 20, 2023, 5:07 p.m.