A Dynamic Clustering Method Based on Genetic Algorithms
基于遗传算法的动态聚类方法

To solve the problem of sensitivity with the original clustering center and clustering results depended on the order of the input example in common dynamic clustering algorithm, a new dynamic clustering method based on genetic algorithms is presented in this paper and is applied to data analysis in databases. Computing results indicate that the method is a dynamic clustering algorithm with global optimization and is superior to \$K\|\$ means algorithm.