Paper Title:
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.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
585-590
DOI
10.4028/www.scientific.net/AMM.26-28.585
Citation
S. S. Sun, W. Wu, "Engineering Achievement and Application of Unascertained Clustering Decision Algorithm Based on MATLAB", Applied Mechanics and Materials, Vols. 26-28, pp. 585-590, 2010
Online since
June 2010
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