Package | Description |
---|---|
com.streamscape.ds.schema.procedure.phonetic |
Modifier and Type | Class and Description |
---|---|
static class |
WeightedLevenshtein.DefaultWeightEstimator |
Modifier and Type | Method and Description |
---|---|
static double |
WeightedLevenshtein.compactDistance(java.lang.String s1,
java.lang.String s2,
WeightedLevenshtein.WeightEstimator weight)
Optimized version of the Wagner & Fischer algorithm that only
keeps a single column in the matrix in memory at a time.
|
static double |
WeightedLevenshtein.distance(java.lang.String s1,
java.lang.String s2,
WeightedLevenshtein.WeightEstimator weight) |
void |
WeightedLevenshtein.setEstimator(WeightedLevenshtein.WeightEstimator estimator) |
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