R/FOP.R

FOP.Rd

The Fisher optimal partition algorithm.

FOP(X, k, C)

a set of samples

number of classes

statistic from the output of dlc

dlc

index vector for each sample's classification

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

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)