Repair Conditions of a Distance Matrix
This function repairs distance matrices, so that the following two properties are ensured: The distance values should be non-zero and the diagonal should be zero. Other properties (conditionally negative semi-definitene (CNSD), symmetric) are assumed to be given.
repairConditionsDistanceMatrix(mat)
mat |
symmetric, CNSD distance matrix. If your matrix is not CNSD, use |
repaired distance 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) D <- correctionCNSD(D) D D <- repairConditionsDistanceMatrix(D) D
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.