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
Full text not available from this repository.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 Nov 2024 04:21 |
URI: | http://eprints.lse.ac.uk/id/eprint/37105 |
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