Uses of Interface
org.cicirello.permutations.distance.PermutationDistanceMeasurerDouble
Package
Description
Implementations of a variety of permutation distance measures.
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Uses of PermutationDistanceMeasurerDouble in org.cicirello.permutations.distance
Modifier and TypeInterfaceDescriptioninterface
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.interface
Implement this interface to define a distance metric for permutations that supports normalizing the distance to the interval [0,1].interface
Implement this interface, PermutationDistanceMeasurer, to define a distance metric for permutations.Modifier and TypeClassDescriptionfinal class
Acyclic edge distance treats the permutations as if they represent sets of edges, and counts the number of edges that differ.class
Block Interchange Distance is the minimum number of block interchanges necessary to transform one permutation into the other.final class
Cycle distance is the count of the number of non-singleton permutation cycles between a pair of permutations.final class
Cycle edit distance is the minimum number of non-singleton permutation cycles necessary to transform permutation p1 into p2.final class
Cyclic edge distance treats the permutations as if they represent sets of edges, and counts the number of edges that differ.final class
This class implements the concept of a cyclic independent distance measure.final class
This class implements the concept of a cyclic independent distance measure.final class
This class implements the combination of cyclic independence and reversal independence.final class
This class implements the combination of cyclic independence and reversal independence.final class
Cyclic RType distance treats the permutations as if they represent sets of directed edges, and counts the number of edges that differ.final class
Deviation distance is the sum of the positional deviation of the permutation elements.final class
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).final class
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).final class
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.final class
Exact Match distance is an extension of Hamming distance but to non-binary strings, in this case, permutations.final class
Interchange distance is the minimum number of swaps necessary to transform one permutation into the other.final class
K-Cycle distance is the count of the number of non-singleton permutation cycles of length at most K.final class
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.final class
Lee Distance is closely related to deviation distance.final class
Reinsertion distance is the count of the number of removal/reinsertion operations needed to transform one permutation into the other.final class
Reversal Distance is the minimum number of subpermutation reversals necessary to transform one permutation into the other.final class
This class implements the concept of a reversal independent distance measure.final class
This class implements the concept of a reversal independent distance measure.final class
RType distance treats the permutations as if they represent sets of directed edges, and counts the number of edges that differ.final class
Scramble Distance is the minimum number of random shufflings needed to transform one permutation into the other.final class
Squared Deviation distance is the sum of the squares of the positional deviations of the permutation elements.final class
This class implements the weighted Kendall tau distance.ModifierConstructorDescriptionConstructs a distance measure for measuring distance with cyclic independence, such that distance = min_{i in [0,N)} distance(p1,rotate(p2,i))Constructs a distance measure for measuring distance with cyclic and reversal independence, such that distance = min_{i in [0,N)} { distance(p1,rotate(p2,i)), distance(p1,rotate(reverse(p2),i)) }Constructs a distance measure for measuring distance with reversal independence, such that distance = min { distance(p1,p2), distance(p1,reverse(p2)) }