Subasi, Munevver Mine, Subasi, Ersoy, Anthony, Martin ORCID: 0000-0002-7796-6044 and Hammer, Peter L.
(2011)
A new imputation method for incomplete binary data.
Discrete Applied Mathematics, 159 (10).
pp. 1040-1047.
ISSN 0166-218X
Abstract
In data analysis problems where the data are represented by vectors of real numbers, it is often the case that some of the data-points will have "missing values", meaning that one or more of the entries of the vector that describes the data-point is not observed. In this paper, we propose a new approach to the imputation of missing binary values. The technique we introduce employs a "similarity measure" introduced by Anthony and Hammer (2006) [1]. We compare experimentally the performance of our technique with ones based on the usual Hamming distance measure and multiple imputation.
Item Type: | Article |
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Official URL: | http://www.elsevier.com/wps/find/journaldescriptio... |
Additional Information: | © 2011 Elesevier B.V. |
Divisions: | Mathematics |
Subjects: | Q Science > QA Mathematics |
Date Deposited: | 29 Jun 2011 14:07 |
Last Modified: | 01 Feb 2025 06:57 |
URI: | http://eprints.lse.ac.uk/id/eprint/37105 |
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