Sequence Alignment Algorithm for Statistical Similarity Assessment

This paper presents a new approach to statistical similarity assessment based on sequence alignment. The algorithm performs mutual matching of two random sequences by successively searching for common elements and by applying sequence breaks to matchless elements in the function of exponential cost....

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Bibliographic Details
Main Authors: Jakub Nikonowicz, Lukasz Matuszewski, Pawel Kubczak
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9490681/