Geodesic
An approximation algorithm for one problem of cluster analysis
Diskretnyj analiz i issledovanie operacij, Tome 18 (2011) no. 2, pp. 29-40

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A 2-approximation algorithm is presented for a data analysis problem which was previously reduced to an NP-hard optimization problem. Particularly, the problem is to partition a set of Euclidean vectors into two subsets (clusters) under the criterion of minimum-sum-of-squares. Bibliogr. 7.
Keywords: search for a vector subset, cluster analysis, NP-hardness, efficient approximate algorithm. 
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     author = {A. V. Dolgushev and A. V. Kel'manov},
     title = {An approximation algorithm for one problem of cluster analysis},
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A. V. Dolgushev; A. V. Kel'manov. An approximation algorithm for one problem of cluster analysis. Diskretnyj analiz i issledovanie operacij, Tome 18 (2011) no. 2, pp. 29-40. http://geodesic.mathdoc.fr/item/DA_2011_18_2_a2/