org.apache.commons.text.similarity.JaroWinklerDistance Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of commons-text Show documentation
Show all versions of commons-text Show documentation
Apache Commons Text is a library focused on algorithms working on strings.
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.text.similarity;
import java.util.Arrays;
/**
* Measures the Jaro-Winkler distance of two character sequences.
* It is the complementary of Jaro-Winkler similarity.
*
* @since 1.0
*/
public class JaroWinklerDistance implements EditDistance {
/**
* @deprecated Deprecated as of 1.7. This constant will be removed in 2.0.
*/
@Deprecated
public static final int INDEX_NOT_FOUND = -1;
/**
* Computes the Jaro Winkler Distance between two character sequences.
*
*
* distance.apply(null, null) = IllegalArgumentException
* distance.apply("foo", null) = IllegalArgumentException
* distance.apply(null, "foo") = IllegalArgumentException
* distance.apply("", "") = 0.0
* distance.apply("foo", "foo") = 0.0
* distance.apply("foo", "foo ") = 0.06
* distance.apply("foo", "foo ") = 0.09
* distance.apply("foo", " foo ") = 0.13
* distance.apply("foo", " foo") = 0.49
* distance.apply("", "a") = 1.0
* distance.apply("aaapppp", "") = 1.0
* distance.apply("frog", "fog") = 0.07
* distance.apply("fly", "ant") = 1.0
* distance.apply("elephant", "hippo") = 0.56
* distance.apply("hippo", "elephant") = 0.56
* distance.apply("hippo", "zzzzzzzz") = 1.0
* distance.apply("hello", "hallo") = 0.12
* distance.apply("ABC Corporation", "ABC Corp") = 0.09
* distance.apply("D N H Enterprises Inc", "D & H Enterprises, Inc.") = 0.05
* distance.apply("My Gym Children's Fitness Center", "My Gym. Childrens Fitness") = 0.08
* distance.apply("PENNSYLVANIA", "PENNCISYLVNIA") = 0.12
*
*
* @param left the first CharSequence, must not be null
* @param right the second CharSequence, must not be null
* @return result distance
* @throws IllegalArgumentException if either CharSequence input is {@code null}
*/
@Override
public Double apply(final CharSequence left, final CharSequence right) {
if (left == null || right == null) {
throw new IllegalArgumentException("CharSequences must not be null");
}
// TODO: replace the rest of the code by this in 2.0, see TEXT-104
//
// JaroWinklerSimilarity similarity = new JaroWinklerSimilarity();
// return 1 - similarity.apply(left, right);
final double defaultScalingFactor = 0.1;
final int[] mtp = matches(left, right);
final double m = mtp[0];
if (m == 0) {
return 0D;
}
final double j = ((m / left.length() + m / right.length() + (m - (double) mtp[1] / 2) / m)) / 3;
final double jw = j < 0.7D ? j : j + defaultScalingFactor * mtp[2] * (1D - j);
return jw;
}
// TODO: remove this method in 2.0, see TEXT-104
/**
* This method returns the Jaro-Winkler string matches, half transpositions, prefix array.
*
* @param first the first string to be matched
* @param second the second string to be matched
* @return mtp array containing: matches, half transpositions, and prefix
* @deprecated Deprecated as of 1.7. This method will be removed in 2.0, and moved to a Jaro Winkler similarity
* class.
*/
@Deprecated
protected static int[] matches(final CharSequence first, final CharSequence second) {
CharSequence max, min;
if (first.length() > second.length()) {
max = first;
min = second;
} else {
max = second;
min = first;
}
final int range = Math.max(max.length() / 2 - 1, 0);
final int[] matchIndexes = new int[min.length()];
Arrays.fill(matchIndexes, -1);
final boolean[] matchFlags = new boolean[max.length()];
int matches = 0;
for (int mi = 0; mi < min.length(); mi++) {
final char c1 = min.charAt(mi);
for (int xi = Math.max(mi - range, 0), xn = Math.min(mi + range + 1, max.length()); xi < xn; xi++) {
if (!matchFlags[xi] && c1 == max.charAt(xi)) {
matchIndexes[mi] = xi;
matchFlags[xi] = true;
matches++;
break;
}
}
}
final char[] ms1 = new char[matches];
final char[] ms2 = new char[matches];
for (int i = 0, si = 0; i < min.length(); i++) {
if (matchIndexes[i] != -1) {
ms1[si] = min.charAt(i);
si++;
}
}
for (int i = 0, si = 0; i < max.length(); i++) {
if (matchFlags[i]) {
ms2[si] = max.charAt(i);
si++;
}
}
int halfTranspositions = 0;
for (int mi = 0; mi < ms1.length; mi++) {
if (ms1[mi] != ms2[mi]) {
halfTranspositions++;
}
}
int prefix = 0;
for (int mi = 0; mi < Math.min(4, min.length()); mi++) {
if (first.charAt(mi) == second.charAt(mi)) {
prefix++;
} else {
break;
}
}
return new int[] {matches, halfTranspositions, prefix};
}
}