Engineering Achievement and Application of Unascertained Clustering Decision Algorithm Based on MATLAB

Shu Sheng Sun; Wei Wu

doi:10.4028/www.scientific.net/AMM.26-28.585

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 26-28Engineering Achievement and Application of...

Engineering Achievement and Application of Unascertained Clustering Decision Algorithm Based on MATLAB

Abstract:

Unascertained clustering is an unsupervised clustering based on unascertained set. It is a method to make soft division of objects which is more scientific and realistic than the general one. According to the basic idea of unascertained average clustering, we write a specific procedure to achieve calculation by the MATLAB technology and then we verify the feasibility and effectiveness of the written procedures as well as the practical value and feasibility of calculation through case study.

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Periodical:

Applied Mechanics and Materials (Volumes 26-28)

Pages:

585-590

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.26-28.585

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Online since:

June 2010

Authors:

Shu Sheng Sun, Wei Wu

Keywords:

Clustering, MATLAB, Unascertained Cluster (UC)

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