本文整理汇总了Java中uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein.getSimilarity方法的典型用法代码示例。如果您正苦于以下问题：Java Levenshtein.getSimilarity方法的具体用法？Java Levenshtein.getSimilarity怎么用？Java Levenshtein.getSimilarity使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein的用法示例。
在下文中一共展示了Levenshtein.getSimilarity方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: similarities
import uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein; //导入方法依赖的package包/类
public float[] similarities(String s1, String s2) {
float[] result = new float[15];
DiceSimilarity ds = new DiceSimilarity();
result[0] = ds.getSimilarity(s1, s2);
CosineSimilarity cs = new CosineSimilarity();
result[1] = ds.getSimilarity(s1, s2);
JaccardSimilarity js = new JaccardSimilarity();
result[2] = js.getSimilarity(s1, s2);
Levenshtein ls = new Levenshtein();
result[3] = ls.getSimilarity(s1, s2);
ChapmanOrderedNameCompoundSimilarity concs = new ChapmanOrderedNameCompoundSimilarity();
result[4] = concs.getSimilarity(s1, s2);
BlockDistance bd = new BlockDistance();
result[5] = bd.getSimilarity(s1, s2);
Jaro j = new Jaro();
result[6] = j.getSimilarity(s1, s2);
JaroWinkler jw = new JaroWinkler();
result[7] = jw.getSimilarity(s1, s2);
MongeElkan me = new MongeElkan();
result[8] = me.getSimilarity(s1, s2);
NeedlemanWunch nw = new NeedlemanWunch();
result[9] = nw.getSimilarity(s1, s2);
SmithWaterman sw = new SmithWaterman();
result[10] = sw.getSimilarity(s1, s2);
QGramsDistance qgd = new QGramsDistance();
result[11] = qgd.getSimilarity(s1, s2);
Soundex s = new Soundex();
result[12] = s.getSimilarity(s1, s2);
EuclideanDistance ed = new EuclideanDistance();
result[13] = ed.getSimilarity(s1, s2);
TagLink tl = new TagLink();
result[14] = tl.getSimilarity(s1, s2);
return result;
}
示例2: similaritiesVerbose
import uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein; //导入方法依赖的package包/类
public String similaritiesVerbose(String s1, String s2) {
DiceSimilarity ds = new DiceSimilarity();
float resultDS = ds.getSimilarity(s1, s2);
CosineSimilarity cs = new CosineSimilarity();
float resultCS = ds.getSimilarity(s1, s2);
JaccardSimilarity js = new JaccardSimilarity();
float resultJS = js.getSimilarity(s1, s2);
Levenshtein ls = new Levenshtein();
float resultLS = ls.getSimilarity(s1, s2);
ChapmanOrderedNameCompoundSimilarity concs = new ChapmanOrderedNameCompoundSimilarity();
float resultCONCS = concs.getSimilarity(s1, s2);
BlockDistance bd = new BlockDistance();
float resultBD = bd.getSimilarity(s1, s2);
Jaro j = new Jaro();
float resultJ = j.getSimilarity(s1, s2);
JaroWinkler jw = new JaroWinkler();
float resultJW = jw.getSimilarity(s1, s2);
MongeElkan me = new MongeElkan();
float resultME = me.getSimilarity(s1, s2);
NeedlemanWunch nw = new NeedlemanWunch();
float resultNW = nw.getSimilarity(s1, s2);
SmithWaterman sw = new SmithWaterman();
float resultSW = sw.getSimilarity(s1, s2);
QGramsDistance qgd = new QGramsDistance();
float resultQGD = qgd.getSimilarity(s1, s2);
Soundex s = new Soundex();
float resultS = s.getSimilarity(s1, s2);
EuclideanDistance ed = new EuclideanDistance();
float resultED = ed.getSimilarity(s1, s2);
TagLink tl = new TagLink();
float resultTL = tl.getSimilarity(s1, s2);
StringBuilder stringBuilder = new StringBuilder();
stringBuilder.append("Comparison of strings: \"");
stringBuilder.append(s1);
stringBuilder.append("\" and \"");
stringBuilder.append(s2);
stringBuilder.append("\"\n\nDice Similarity: ");
stringBuilder.append(resultDS);
stringBuilder.append("\nCosine Similarity: ");
stringBuilder.append(resultCS);
stringBuilder.append("\nJaccard Similarity: ");
stringBuilder.append(resultJS);
stringBuilder.append("\nLevenshtein Distance: ");
stringBuilder.append(resultLS);
stringBuilder.append("\nChapman Ordered Name Compound Similarity: ");
stringBuilder.append(resultCONCS);
stringBuilder.append("\nBlock Distance: ");
stringBuilder.append(resultBD);
stringBuilder.append("\nJaro: ");
stringBuilder.append(resultJ);
stringBuilder.append("\nJaro-Winkler: ");
stringBuilder.append(resultJW);
stringBuilder.append("\nMonge-Elkan: ");
stringBuilder.append(resultME);
stringBuilder.append("\nNeedleman-Wunch: ");
stringBuilder.append(resultNW);
stringBuilder.append("\nSmith-Waterman: ");
stringBuilder.append(resultSW);
stringBuilder.append("\nQGrams Distance: ");
stringBuilder.append(resultQGD);
stringBuilder.append("\nSoundex: ");
stringBuilder.append(resultS);
stringBuilder.append("\nEuclidean Distance: ");
stringBuilder.append(resultED);
stringBuilder.append("\nTag Link: ");
stringBuilder.append(resultTL);
return stringBuilder.toString();
}
示例3: LEVMatch
import uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein; //导入方法依赖的package包/类
public static boolean LEVMatch(String str1, String str2, double threshold){
Levenshtein lev = new Levenshtein();
float thresh = lev.getSimilarity(str1, str2);
return thresh > threshold;
}
示例4: getLEVMatchSimilarity
import uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein; //导入方法依赖的package包/类
public static float getLEVMatchSimilarity(String str1, String str2){
Levenshtein lev = new Levenshtein();
float thresh = lev.getSimilarity(str1, str2);
return thresh;
}
示例5: LEVMatch
import uk.ac.shef.wit.simmetrics.similaritymetrics.Levenshtein; //导入方法依赖的package包/类
public static float LEVMatch(String str1, String str2){
Levenshtein lev = new Levenshtein();
float thresh = lev.getSimilarity(str1, str2);
return thresh;
}