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A New Classification Method Based on Similar Gravity

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Abstract:

The paper gives a pattern classification method based on gravity to binary classification problem. The linear classification boundary is computed by regression of some data, which are equilibrium of binary classes according to similar gravity defined in the paper. The method has advantages of computing simply and consuming less time. An example is given, and the result shows the effectiveness of the method.

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Info:

Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1509-1512

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1509

Citation:

Cite this paper

Online since:

January 2015

Authors:

Bin Liu*

Keywords:

Fisher Linear Description, Pattern Classification, Support Vector Machine (SVM)

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Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] B.D. Ripley. Pattern Recognition and Neural Networks. Post & Telecom Press (2009).

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[3] Karl F. Kuhn. Basic Physics: A Self-Teaching Guide. Weily (1996).

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[4] Robert Sedgewick, Kevin Wayne. Algorithm. Post & Telecom Press (2012).

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[5] Peter Harrington. Machine Learning in Action. Post & Telecom Press (2013).

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