OHPL (version 1.4.1)

FOP: Fisher optimal partition

Description

The Fisher optimal partition algorithm.

Usage

FOP(X, k, C)

Value

Index vector for each sample's classification.

Arguments

X

A set of samples.

k

Number of classes.

C

Statistic from the output of dlc().

References

W. D. Fisher (1958). On grouping for maximum homogeneity. Journal of the American Statistical Association, vol. 53, pp. 789--798.

Examples

X <- matrix(c(
  9.3, 1.8, 1.9, 1.7, 1.5, 1.3,
  1.4, 2.0, 1.9, 2.3, 2.1
))
C <- dlc(X, maxk = 8)$C
F <- FOP(X, 8, C)