Engineering Achievement and Application of Unascertained Clustering Decision Algorithm Based on MATLAB
Shu Sheng Sun, Wei Wu · Applied Mechanics and Materials · 2010
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.