A Boolean measure of similarity
Anthony, M.
& Hammer, P. L.
(2006).
A Boolean measure of similarity.
Discrete Applied Mathematics,
154(16), 2242-2246.
https://doi.org/10.1016/j.dam.2006.04.011
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 |
|---|---|
| Copyright holders | © 2006 Elsevier BV |
| Departments | LSE > Academic Departments > Mathematics |
| DOI | 10.1016/j.dam.2006.04.011 |
| Date Deposited | 25 Jul 2008 |
| URI | https://researchonline.lse.ac.uk/id/eprint/15861 |
Explore Further
- http://www.lse.ac.uk/Mathematics/people/Martin-Anthony.aspx (Author)
- https://www.scopus.com/pages/publications/33747866995 (Scopus publication)
- https://www.journals.elsevier.com/discrete-applied... (Official URL)
ORCID: https://orcid.org/0000-0002-7796-6044