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19 packages found
An extension of Set meant for checking similarity of strings. Also offers static functions that can be used seperately from the SimilaritySet.
- string-similarity
- similarity-set
- similarity
- strings
- similar
- difference
- compare
- comparison
- dice
- levensthein
- jaccard
Tanimoto similarity and distance methods
Javascript version of hermetrics.py
- hermetrics
- nlp
- similarity metric
- distance metric
- levenshtein
- jaro
- jaro-winkler
- hamming
- osa
- damerau-levenshtein
- jaccard
- dice
Promise-based Jaccard similarity coefficient index calculation framework
library for simularity identification
Jaccard Similarity Coefficient Index Stream Transform
A lightweight, rule-based text similarity calculator that selects the most appropriate comparison algorithm based on input string lengths.
Distance/Similarity functions for Bag of Words, Strings, Numbers, Dates and Vectors.
- Distance
- Similarity
- NLP
- Bag of Words
- Strings
- Vectors
- Chebyshev
- Cosine
- Hamming
- Jaccard
- Jaro
- Manhattan
- Soundex
- Tversky
- View more
Finds measure of similarity/distance between two input sets.
- set
- sorensen
- dice
- jaccard
- ochiai
- otsuka
- barkman
- overlap
- levenshtein
- edit-distance
- euclidean
- distance
- coefficient
- algorithm
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Jaccard string distance library
calculate jaccard index for two sorted streams of data
Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
- bloom filter
- canberra
- caverphone
- chebyshev
- cologne
- cosine
- clustering
- daitch-mokotoff
- dice
- fingerprint
- fuzzy
- hamming
- k-means
- jaccard
- View more
Get Jaccard distance between strings.
Very simple package for measuring the similarity of two sets by their shared members.
A Jaccard index calculator supporting multi-set.
Implements the Jaccard algorithm for finding the similarity coefficient between sentences
This package adds new features to the mongodb database through the use of fuzzy techniques and approximate string matching.
using wuzzy in the real world