Package org.cicirello.permutations.distance


package org.cicirello.permutations.distance
Implementations of a variety of permutation distance measures.
  • Class
    Description
    Acyclic edge distance treats the permutations as if they represent sets of edges, and counts the number of edges that differ.
    Block Interchange Distance is the minimum number of block interchanges necessary to transform one permutation into the other.
    Cycle distance is the count of the number of non-singleton permutation cycles between a pair of permutations.
    Cycle edit distance is the minimum number of non-singleton permutation cycles necessary to transform permutation p1 into p2.
    Cyclic edge distance treats the permutations as if they represent sets of edges, and counts the number of edges that differ.
    This class implements the concept of a cyclic independent distance measure.
    This class implements the concept of a cyclic independent distance measure.
    This class implements the combination of cyclic independence and reversal independence.
    This class implements the combination of cyclic independence and reversal independence.
    Cyclic RType distance treats the permutations as if they represent sets of directed edges, and counts the number of edges that differ.
    Deviation distance is the sum of the positional deviation of the permutation elements.
    Normalized Deviation distance is the sum of the positional deviation of the permutation elements divided by N-1 (where N is the length of the permutation).
    The original version of Normalized Deviation distance (Ronald, 1998) is the sum of the positional deviation of the permutation elements divided by N-1 (where N is the length of the permutation).
    This is an implementation of Wagner and Fischer's dynamic programming algorithm for computing string edit distance, but adapted to permutations rather than general strings.
    Exact Match distance is an extension of Hamming distance but to non-binary strings, in this case, permutations.
    Interchange distance is the minimum number of swaps necessary to transform one permutation into the other.
    K-Cycle distance is the count of the number of non-singleton permutation cycles of length at most K.
    Kendall Tau distance is sometimes also known as bubble sort distance, as it is the number of adjacent swaps necessary to transform one permutation into the other.
    Lee Distance is closely related to deviation distance.
    Implement this interface to define a distance metric for permutations that supports normalizing the distance to the interval [0,1], but where the base distance is an integer value.
    Implement this interface to define a distance metric for permutations that supports normalizing the distance to the interval [0,1].
    Implement this interface, PermutationDistanceMeasurer, to define a distance metric for permutations.
    Implement this interface, PermutationDistanceMeasurerDouble, to define a distance metric for permutations, where the distance is a floating-point value.
    Reinsertion distance is the count of the number of removal/reinsertion operations needed to transform one permutation into the other.
    Reversal Distance is the minimum number of subpermutation reversals necessary to transform one permutation into the other.
    This class implements the concept of a reversal independent distance measure.
    This class implements the concept of a reversal independent distance measure.
    RType distance treats the permutations as if they represent sets of directed edges, and counts the number of edges that differ.
    Scramble Distance is the minimum number of random shufflings needed to transform one permutation into the other.
    Squared Deviation distance is the sum of the squares of the positional deviations of the permutation elements.
    This class implements the weighted Kendall tau distance.