Anthony, Martin 
ORCID: 0000-0002-7796-6044, Hammer, P. L., Subasi, E. and Subasi, M.
(2005)
Using a similarity measure for credible classification.
CDAM research report series (CDAM-LSE-2005-22).
Centre for Discrete and Applicable Mathematics, London School of Economics and Political Science, London, UK.
Abstract
This paper concerns classification by Boolean functions. We investigate the classification accuracy obtained by standard classification techniques on unseen points (elements of the domain, {0, 1}n, for some n) that are similar, in particular senses, to the points that have been observed as training obser- vations. Explicitly, we use a new measure of how similar a point x ∈ {0, 1}n is to a set of such points to restrict the domain of points on which we offer a classification. For points sufficiently dissimilar, no classification is given. We report on experimental results which indicate that the classification ac- curacies obtained on the resulting restricted domains are better than those obtained without restriction. These experiments involve a number of standard data-sets and classification techniques. We also compare the classification ac- curacies with those obtained by restricting the domain on which classification is given by using the Hamming distance.
| Item Type: | Monograph (Report) |
|---|---|
| Official URL: | http://www.cdam.lse.ac.uk |
| Additional Information: | © 2005 the authors |
| Divisions: | Mathematics |
| Subjects: | Q Science > QA Mathematics |
| Date Deposited: | 23 Oct 2008 09:43 |
| Last Modified: | 12 Dec 2024 05:42 |
| URI: | http://eprints.lse.ac.uk/id/eprint/13927 |
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