FOP | R Documentation |
The Fisher optimal partition algorithm.
FOP(X, k, C)
X |
a set of samples |
k |
number of classes |
C |
statistic from the output of |
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)
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