Anthony, Martin ORCID: 0000-0002-7796-6044 and Hammer, Peter Ladislaw (2006) A Boolean measure of similarity. Discrete Applied Mathematics, 154 (16). pp. 2242-2246. ISSN 0166-218X
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Identification Number: 10.1016/j.dam.2006.04.011
Abstract
We propose a way of measuring the similarity of a Boolean vector to a given set of Boolean vectors, motivated in part by certain data mining or machine learning problems. We relate the similarity measure to one based on Hamming distance and we develop from this some ways of quantifying the ‘quality’ of a dataset.
Item Type: | Article |
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Official URL: | https://www.journals.elsevier.com/discrete-applied... |
Additional Information: | © 2006 Elsevier BV |
Divisions: | Mathematics |
Subjects: | Q Science > QA Mathematics |
Date Deposited: | 25 Jul 2008 08:55 |
Last Modified: | 11 Dec 2024 22:59 |
URI: | http://eprints.lse.ac.uk/id/eprint/15861 |
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