Rand Index

A function to compute the Rand index between two classifications

RI(c1, c2, sorted_pairs = NULL)

Arguments

c1

A vector of length $n$ with values between 0 and $N_1 < n$ representing the first classification. Supported types: integer, numeric, or factor. Avoid character vectors for better performance. Must not be a list.

c2

A vector of length $n$ with values between 0 and $N_2 < n$ representing the second classification. Supported types: integer, numeric, or factor. Avoid character vectors for better performance. Must not be a list.

sorted_pairs

optional output of function sort_pairs (if already computed). If `NULL` (the default), will be called internally

Value

a scalar with the Rand index.

See also

ARI, NID, NVI, NMI, clustComp

Examples

data(iris)
cl <- cutree(hclust(dist(iris[, -5])), 4)
RI(cl, iris$Species)
#> [1] 0.821745