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)