A Boolean measure of similarity

Anthony, Martin

; and Hammer, Peter Ladislaw (2006) A Boolean measure of similarity. Discrete Applied Mathematics, 154 (16). pp. 2242-2246. ISSN 0166-218X

Copy

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
Keywords	classification,learning,Boolean functions
Departments	Mathematics
DOI	10.1016/j.dam.2006.04.011
Date Deposited	25 Jul 2008 08:55
URI	https://researchonline.lse.ac.uk/id/eprint/15861

Explore Further

QA Mathematics

http://www.lse.ac.uk/Mathematics/people/Martin-Anthony.aspx (Author)
10.1016/j.dam.2006.04.011 (DOI)

Full text not available from this repository.

Atom

BibTeX

OpenURL ContextObject in Span

OpenURL ContextObject

Dublin Core

MPEG-21 DIDL

Data Cite XML

EndNote

HTML Citation

METS

MODS

RIOXX2 XML

Reference Manager

Refer

ASCII Citation

Export

Downloads