Application of Fuzzy C-Means Clustering Based on Simulated Annealing to Stock Market

A new fuzzy C-means algorithm based on simulated annealing is presented. The problem of sensitivity with initial clustering center is solved by the global optimization capable of simulated annealing. This paper analyzes the Index 50 of SSE by the clustering model. The paper also studies their characteristics respectively. The performance of the proposed method is demonstrated by an example.