The Duality of Similarity and Metric Spaces

We introduce a new mathematical basis for similarity space. For the first time, we describe the relationship between distance and similarity from set theory. Then, we derive generally valid relations for the conversion between similarity and a metric and vice versa. We present a general solution for...

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Main Authors: Ondřej Rozinek, Jan Mareš
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/4/1910
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author Ondřej Rozinek
Jan Mareš
author_facet Ondřej Rozinek
Jan Mareš
author_sort Ondřej Rozinek
collection DOAJ
description We introduce a new mathematical basis for similarity space. For the first time, we describe the relationship between distance and similarity from set theory. Then, we derive generally valid relations for the conversion between similarity and a metric and vice versa. We present a general solution for the normalization of a given similarity space or metric space. The derived solutions lead to many already used similarity and distance functions, and combine them into a unified theory. The Jaccard coefficient, Tanimoto coefficient, Steinhaus distance, Ruzicka similarity, Gaussian similarity, edit distance and edit similarity satisfy this relationship, which verifies our fundamental theory.
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spelling doaj.art-37736c0f13fb4fcfbadaf3d2534424822023-12-11T17:56:23ZengMDPI AGApplied Sciences2076-34172021-02-01114191010.3390/app11041910The Duality of Similarity and Metric SpacesOndřej Rozinek0Jan Mareš1Department of Process Control, Faculty of Electrical Engineering and Informatics, University of Pardubice, 530 02 Pardubice, Czech RepublicDepartment of Process Control, Faculty of Electrical Engineering and Informatics, University of Pardubice, 530 02 Pardubice, Czech RepublicWe introduce a new mathematical basis for similarity space. For the first time, we describe the relationship between distance and similarity from set theory. Then, we derive generally valid relations for the conversion between similarity and a metric and vice versa. We present a general solution for the normalization of a given similarity space or metric space. The derived solutions lead to many already used similarity and distance functions, and combine them into a unified theory. The Jaccard coefficient, Tanimoto coefficient, Steinhaus distance, Ruzicka similarity, Gaussian similarity, edit distance and edit similarity satisfy this relationship, which verifies our fundamental theory.https://www.mdpi.com/2076-3417/11/4/1910similarity metricsimilarity spacedistance metricmetric spacenormalized similarity metricnormalized distance metric
spellingShingle Ondřej Rozinek
Jan Mareš
The Duality of Similarity and Metric Spaces
Applied Sciences
similarity metric
similarity space
distance metric
metric space
normalized similarity metric
normalized distance metric
title The Duality of Similarity and Metric Spaces
title_full The Duality of Similarity and Metric Spaces
title_fullStr The Duality of Similarity and Metric Spaces
title_full_unstemmed The Duality of Similarity and Metric Spaces
title_short The Duality of Similarity and Metric Spaces
title_sort duality of similarity and metric spaces
topic similarity metric
similarity space
distance metric
metric space
normalized similarity metric
normalized distance metric
url https://www.mdpi.com/2076-3417/11/4/1910
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