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Diskretnyi Analiz i Issledovanie Operatsii, 2014, Volume 21, Issue 1, Pages 53–66
(Mi da760)
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This article is cited in 13 scientific papers (total in 13 papers)
Approximation algorithm for one problem of partitioning a sequence
A. V. Kelmanovab, S. A. Khamidullinb a Novosibirsk State University, 2 Pirogov St., 630090 Novosibirsk, Russia
b Sobolev Institute of Mathematics, 4 Acad. Koptyug Ave., 630090 Novosibirsk, Russia
Abstract:
We consider one NP-hard problem of partitioning of a finite Euclidean vectors sequence into two clusters minimizing the sum of squared distances from the clusters elements to their centers. The cardinalities of the clusters are fixed. The center of the first cluster is defined as the mean value of all vectors in a cluster. The center of the second cluster is given in advance and is equal to 0. Additionally, the partition must satisfy the restriction that for all vectors that are in the first cluster the difference between the indices of two consequent vectors from this cluster is bounded from below and above by some constants. An effective $2$-approximation algorithm for the problem is presented. Bibliogr. 9.
Keywords:
Euclidean vectors sequence, сlusterization, minimum sum-of-squared distances, NP-hardness, effective $2$-approximation algorithm.
Received: 01.03.2013 Revised: 13.05.2013
Citation:
A. V. Kelmanov, S. A. Khamidullin, “Approximation algorithm for one problem of partitioning a sequence”, Diskretn. Anal. Issled. Oper., 21:1 (2014), 53–66; J. Appl. Industr. Math., 8:2 (2014), 236–244
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https://www.mathnet.ru/eng/da760 https://www.mathnet.ru/eng/da/v21/i1/p53
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Abstract page: | 407 | Full-text PDF : | 90 | References: | 74 | First page: | 20 |
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