摘要
文中根据遗传算法的优点能够解决模糊C-均值聚类算法对初始化敏感的问题,因此把遗传算法与FCM结合起来,既可以发挥遗传算法的全局寻优能力又可兼顾FCM的局部搜索能力,从而提高收敛速度并更好地解决聚类问题。通过实验表明,根据文中提到的算法进行模糊聚类分析,更加客观和准确地揭示考生的知识和能力水平,分析结果体现了模糊聚类的意义和对教学的指导作用。
Genetic algorithm can solve the fuzzy C-means clustering algorithm to initialize the sensitive issue.Combining genetic algorithm with the FCM not only plays the genetic algorithm ability in global optimization,but also takes into account the capacity of local optimization of FCM.Hence it can improve the convergence rate and solve the clustering problem better.The empirical study shows that the mentioned algorithm in the paper is used to examination results for fuzzy clustering analysis,bring to light the level of knowledge and capability of students more objectivity and more correctly,the fuzzy clustering results reflect the significance and role of the Teaching and Learning.
关键词
模糊聚类:遗传算法
FCM算法
考试分析
fuzzy clustering
genetic algorithm
FCM algorithm
examination analysis
