Rosenbrock搜索法在聚类分析中的研究

摘要

Rosenbrock search method is often used for searching a satisfactory solution of one point, and now it will be generalized in clustering analysis for searching a satisfactory solution ofk-deputy points. The generalized method was simulated by four data files contrasting with FCM.%将求解单点极值解的Rosenbrock搜索法应用到具有k-代表点满意解特征的聚类分析中，给出了一种适合于数值型数据集的新型聚类分析算法，并以FCM聚类算法为对比进行了仿真实验，以观察算法的聚类效果。