IEEE

Hamming distance based approximate similarity text search algorithm

Abstract: We propose a Hamming distance based approximate similarity text search (HASTS) algorithm to improve the quality of queries in massive text data. The HASTS algorithm first constructs an index ...
LinkedIn

Hamming vs Levenshtein Distance in NLP

In natural language processing (NLP) and text analysis, we often need to quantify how different two strings are. Two classic edit distance metrics are the Hamming distance and the Levenshtein distance ...
GitHub

A command line tool and python library to encode and decode data using a generic (in byte size) hamming code algorithm.

Hamming code is a set of error-correction codes that can be used to detect and correct the errors that can occur when the data is moved or stored from the sender to ...
GitHub

Split-and-Merge sampling algorithm for Hamming-mixture models of categorical data

This repository contains the code to reproduce the result of the pubblication "Split-and-Merge sampling algorithm for Hamming-mixture models of categorical data" made by Di Marino et al. (2025) on the ...