Classification of Ship’ Magnetic Field and Feature Selection Based on the Improved Weighted Fuzzy Clustering Algorithm

Wu Di Wen; Zhong Le Liu; Zhi Qiang Zhang

doi:10.4028/www.scientific.net/AMM.401-403.1353

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 401-403Classification of Ship’ Magnetic Field and Feature...

Classification of Ship’ Magnetic Field and Feature Selection Based on the Improved Weighted Fuzzy Clustering Algorithm

Abstract:

Magnetic field data of ship has three-component,and traditional weighted fuzzy clustering algorithm(FCA) can’t deal with the three-component data. We improve the traditional FCA by changing the objective function and added weights calculation of three-component of magnetic field in the function.Give the equation to compute the weights of three-component.Put forward new steps for improved algorithm.Use ships’ data to test the improved algorithm and giving the conclusion.

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Periodical:

Applied Mechanics and Materials (Volumes 401-403)

Pages:

1353-1357

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.401-403.1353

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Online since:

September 2013

Authors:

Wu Di Wen, Zhong Le Liu, Zhi Qiang Zhang

Keywords:

Fuzzy Clustering, Magnetic Field, Sample Feature

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