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Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity...
/*
* The MIT License
*
* Copyright 2015 tibo.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
package info.debatty.java.stringsimilarity;
import net.jcip.annotations.Immutable;
/**
* Abstract class for string similarities that rely on set operations (like
* cosine similarity or jaccard index). This abstract base class cares for
* converting input strings into sets of n-grams (aka k-shingles).
*
* @author Thibault Debatty
*/
@Immutable
abstract class ShingleBased {
private static final int DEFAULT_K = 3;
private final int k;
/**
*
* @param k
*/
ShingleBased(final int k) {
this.k = k;
}
/**
*
*/
ShingleBased() {
this(DEFAULT_K);
}
/**
* Return k, the length of k-shingles (aka n-grams).
* @return
*/
public int getK() {
return k;
}
}