extracat (version 1.6-3)

WBCI: The Weighted Bertin Classification Index

Description

The weighted Bertin Classification Criterion using weights according to the Hamming distance is normalized by means of the independence case.

Usage

WBCI(x)

Arguments

x

A data matrix.

Value

• The criterion value.

See Also

kendalls

Examples

M <-arsim(1000, c(12,12), 3)
BCI(M)
WBCI(M)


M2 <- optile(M, iter = 100)
BCI(M2)
WBCI(M2)

M3 <- optile(M, fun = "WBCC", iter = 100)
BCI(M3)
WBCI(M3)