A library implementing different string similarity and distance measures. A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented. Based upon F23.StringSimilarity
Library containing functions to use four curve similarity measures algorithms. Included: Longest Common Subsequence, Frechet Distance, Edit distance, Dynamic Time Warping. These functions are used with the MathNet.Numerics library for Matrices and Vertices.
A simple dll that contains a matching class to match strings and to calculate the score of similarity between the two strings using the Ratcliff-Obershelp algorithm.
Library for fuzzy string matching. Can be used to find doublets or similarities between strings.
-string metrics (Levenshtein, Jaccard, JaroWinkler,...)
-algorithms (SortedNeigborhood, Blocking)
-phonetic codecs(Soundex, DoubleMetaphone, Phonix, ...)
-string tokenizer...
More information
StringComparison is a library developed for reconciling naming conventions
between different models of the electric grid.
I have stripped off the power system specific code and put together
what can effectively be used as a string extension for determining approximate...
More information
BlueSimilarity is a string similarity metric library with semantic learning optimized for speed and simple usage (edit distance - Levenshtein, Damerau-Levenshtein; Levenshtein, Damerau-Levenshtein, Jaro, Jaro-Winkler, Jaccard, Dice, Overlap, Semantic Bag of Words Similarity, TFIDF, SoftTFIDF)
This library is written for image comparison operations. Bu kütüphane resim karşılaştırma işlemleri için yazılmıştır.
NOTE!!!: Because the black and white of the library is converted to color, its success in color is low.
NOT!!!: Kütüphanede siyah beyaza çevirme yapıldığından renkli...
More information
A small evaluation tool to calculate the jaccard similarity index and distance. It also includes mean jaccard index and distance which considers the order of the elements as well.