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Method of an exact quadratic regularization into clustering problem of data
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UDC: 519.85
Publication Language: Russian
Stuc. intelekt. 2013; 18(1):158–162
Abstract: In this paper, we consider a problem clustering of data. The set of points cover of spheres in space ndimensional. This problem is reduced to of vector norm maximization on feasible nonconvex set. Then we use a method of an exact quadratic regularization for the solution of an optimizing problem which has shown its superiority over genetic and evolution methods at the solution of numerous test problems.
Keywords: clustering problem of data, optimization, method of an exact quadratic regularization
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