Adj.Rand: Adjusted Rand index

In shipunov: Miscellaneous Functions from Alexey Shipunov

Adjusted Rand index

Description

Adjusted Rand index to compare different clusterings

Usage

Adj.Rand(cl1, cl2, ...)

Arguments

cl1	First classification (character vector of group names)
cl2	Second classification
...	Further arguments to table()

Details

Use 'useNA="ifany"' or similar option to take NAs as a separate class (for more explanations, see help for table() command).

Note that in rare cases, Adjusted Rand Index might become negative, this might be some evidence that differences between two partitions are "worse than random", i.e., there is a pattern in differences.

Value

Similarity: numerical vector of length 1

Author(s)

Alexey Shipunov

References

Hubert L. and Arabie P. 1985. Comparing partitions. Journal of Classification. 2. 193–218.

See Also

Misclass

Examples

iris.dist <- dist(iris[, 1:4], method="manhattan")
iris.hclust <- hclust(iris.dist)
iris.3 <- cutree(iris.hclust, 3)
Adj.Rand(iris.3, iris[, 5])

shipunov documentation built on Feb. 16, 2023, 9:05 p.m.