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Diskretnyi Analiz i Issledovanie Operatsii, 2011, Volume 18, Issue 1, Pages 61–69
(Mi da638)
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This article is cited in 32 scientific papers (total in 32 papers)
The approximation algorithm for one problem of searching for subset of vectors
A. V. Kel'manovab, S. M. Romanchenkob a S. L. Sobolev Institute of Mathematics, SB RAS, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
One problem in data analysis was earlier reduced to the specific NP-hard optimization problem. In this problem one needs to find a subset of given set of Euclidean vectors satisfying the following conditions. Firstly the required subset must have the given cardinality and secondly it should include vectors which are mutually close under the criterion of minimum sum of squared distances. In the paper, an effective 2-approximation algorithm for this problem is proved. Bibliogr. 3.
Keywords:
searching for subset of vectors, NP-hardness, effective approximation algorithm.
Received: 26.07.2010 Revised: 09.10.2010
Citation:
A. V. Kel'manov, S. M. Romanchenko, “The approximation algorithm for one problem of searching for subset of vectors”, Diskretn. Anal. Issled. Oper., 18:1 (2011), 61–69; J. Appl. Industr. Math., 6:1 (2012), 90–96
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https://www.mathnet.ru/eng/da638 https://www.mathnet.ru/eng/da/v18/i1/p61
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Abstract page: | 518 | Full-text PDF : | 137 | References: | 60 | First page: | 7 |
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