Optimal Solution for Hyper-Sphere Integral Classification Process of Big Data

Zhi Liang Zhang

doi:10.4028/www.scientific.net/AMM.687-691.1462

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Optimal Solution for Hyper-Sphere Integral...

Optimal Solution for Hyper-Sphere Integral Classification Process of Big Data

Abstract:

This paper mainly discusses the optimal solution for hyper-sphere integral classification process of big data. The paper proposes an optimal calculation method for the target problem. Through statistics and analysis of big data, we get the constraint condition, and calculate a maximum value of data characteristic. Then, by the dual programming of Quadratic Programming, we obtain the optimal classification function for hyper-sphere integral classification process of big data. The experiment results show that the proposed algorithm can significantly improve the accuracy of the classification hyper-sphere integral for big data.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1462-1465

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1462

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Online since:

November 2014

Authors:

Zhi Liang Zhang

Keywords:

Big Data, Classification, Hyper-Sphere

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