Engineering Achievement and Application of Unascertained Clustering Decision Algorithm Based on MATLAB
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.
clustering unascertained cluster (UC) MATLAB
Shusheng Sun Wei Wu
School of Management, Wuhan University of Science and Technology Wuhan, P.R.China 430081
国际会议
2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)
洛阳
英文
585-590
2010-09-04（万方平台首次上网日期，不代表论文的发表时间）