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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. Dolgushev
a
,
A. V. Kel'manov
ba
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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