The Fisher optimal partition algorithm.

FOP(X, k, C)

Arguments

X

a set of samples

k

number of classes

C

statistic from the output of dlc

Value

index vector for each sample's classification

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)