An approximation algorithm for solving a problem of search for a vector subset

被引：0
|
作者：
Kel'manov A.V. [1 ,2 ]
Romanchenko S.M. [2 ]
机构：
[1] Sobolev Institute of Mathematics, pr. Akad. Koptyuga 4
[2] Novosibirsk State University, ul. Pirogova 2
来源：
Journal of Applied and Industrial Mathematics | 2012年 / 6卷 / 1期
基金：
俄罗斯基础研究基金会;
关键词：
efficient approximation algorithm; NP-hardness; search for a vector subset;
D O I：
10.1134/S1990478912010097
中图分类号：
学科分类号：
摘要：
One of the problems in data analysis was earlier reduced to a specific NP-hard optimization problem of finding in a given vector set in the Euclidean space a subset of a given cardinality such that the subset consists of the vectors that are "close" to each other by the criterion of the minimum sum of squared distances. In the paper an efficient 2-approximation algorithm is proposed for solving this problem. © 2012 Pleiades Publishing, Ltd.
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页码：90 / 96
页数：6
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