2014
DOI: 10.1134/s0081543814020084
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2-Approximation algorithm for finding a clique with minimum weight of vertices and edges

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Cited by 5 publications
(6 citation statements)
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“…. , m. It is proved that the performance guarantee for the algorithm A solving the quadratic Euclidean m-WCP is 2, which coincides with the approximation ratio for the quadratic Euclidean WCP obtained in [17]. It is also proved that the approximation ratios for both the quadratic Euclidean m-WCP and the metric m-WCP are attainable.…”
Section: Introductionsupporting
confidence: 70%
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“…. , m. It is proved that the performance guarantee for the algorithm A solving the quadratic Euclidean m-WCP is 2, which coincides with the approximation ratio for the quadratic Euclidean WCP obtained in [17]. It is also proved that the approximation ratios for both the quadratic Euclidean m-WCP and the metric m-WCP are attainable.…”
Section: Introductionsupporting
confidence: 70%
“…The optimization statement of this problem models, in particular, an important problem of cluster analysis (see, for example, [15,[17][18][19] and references therein). In this problem, given the numerically expressed results of pairwise comparisons of some objects, one has to partition the set of these objects into disjoint subsets (clusters) consisting of similar objects.…”
Section: Introductionmentioning
confidence: 99%
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