FOP {OHPL} | R Documentation |
Fisher Optimal Partition
Description
The Fisher optimal partition algorithm.
Usage
FOP(X, k, C)
Arguments
X |
a set of samples |
k |
number of classes |
C |
statistic from the output of |
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)
[Package OHPL version 1.4 Index]