correctionCNSD {CEGO} | R Documentation |
Correcting, e.g., a distance matrix with chosen methods so that it becomes a CNSD matrix.
correctionCNSD(mat, method = "flip", tol = 1e-08)
mat |
symmetric matrix, which should be at least of size 3x3 |
method |
string that specifies method for correction: spectrum clip |
tol |
torelance value. Eigenvalues between |
the corrected CNSD matrix
Martin Zaefferer and Thomas Bartz-Beielstein. (2016). Efficient Global Optimization with Indefinite Kernels. Parallel Problem Solving from Nature-PPSN XIV. Accepted, in press. Springer.
x <- list(c(2,1,4,3),c(2,4,3,1),c(4,2,1,3),c(4,3,2,1),c(1,4,3,2)) D <- distanceMatrix(x,distancePermutationInsert) is.CNSD(D) #matrix should not be CNSD D <- correctionCNSD(D) is.CNSD(D) #matrix should now be CNSD D # note: to fix the negative distances, use repairConditionsDistanceMatrix. # Or else, use correctionDistanceMatrix.