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 ...

Abstract: When the Hamming clustering is applied to personalized recommendations for the user access logs, since it does not reflect the user's preference for the project, so we proposed a hybrid ...

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 ...

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