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JOURNALS // Diskretnyi Analiz i Issledovanie Operatsii // Archive

Diskretn. Anal. Issled. Oper., 2010 Volume 17, Issue 2, Pages 39–45 (Mi da604)

This article is cited in 12 papers

On the issue of algorithmic complexity of one cluster analysis problem

A. V. Dolgusheva, A. V. Kel'manovba

a Novosibirsk State University, Novosibirsk, Russia
b S. L. Sobolev Institute of Mathematics, SB RAS, Novosibirsk, Russia

Abstract: In the paper the problem of minimum sum-of-squares clustering (MSSC) of a set of euclidian vectors is proved to be NP-complete when the dimension of the space is a part and the number of clusters is not a part of the input. Bibl. 9.

Keywords: clustering, MSSC, algorithmic complexity, NP-completeness.

UDC: 519.2+621.391

Received: 01.12.2009
Revised: 17.12.2009



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