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Diskretnyi Analiz i Issledovanie Operatsii, 2012, Volume 19, Issue 3, Pages 27–38
(Mi da688)
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This article is cited in 9 scientific papers (total in 9 papers)
Approximation algorithms for some NP-hard problems of searching a vectors subsequence
A. V. Kel'manovab, S. M. Romanchenkoa, S. A. Khamidullina a S. L. Sobolev Institute of Mathematics, SB RAS, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
Some NP-hard problems of searching a subsequence in a finite sequence of Euclidean vectors are studied. It is assumed that the desired subsequence has a fixed number of vectors which are mutually close under the criterion of minimum sum of squared distances. Moreover, there is an additional requirement that the difference between the numbers of any two consecutive vectors must lie between two given constants. Some effective 2-approximation algorithms for these problems are presented. Bibliogr. 11.
Keywords:
searching a vectors subsequence, minimum sum-of-squared distances, clustering, NP-hardness, effective approximation algorithm.
Received: 11.08.2011 Revised: 07.11.2011
Citation:
A. V. Kel'manov, S. M. Romanchenko, S. A. Khamidullin, “Approximation algorithms for some NP-hard problems of searching a vectors subsequence”, Diskretn. Anal. Issled. Oper., 19:3 (2012), 27–38; J. Appl. Industr. Math., 6:4 (2012), 443–450
Linking options:
https://www.mathnet.ru/eng/da688 https://www.mathnet.ru/eng/da/v19/i3/p27
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