改进粒子群算法和蚁群算法混合应用于文本聚类

The combination of improved PSO and hybrid ant colony algorithm used in text clustering

首先对粒子群算法中的惯性因子和加速系数进行调整,利用其有效的全局搜索特性对数据进行粗聚类;然后使用蚁群聚类算法进行下一步聚类,得到了较好的聚类效果。

First both the inertial factor and accelerate coefficients are adjusted in the PSO algorithm to roughly cluster the data with the effective global search characteristics. Then the detailed clustering is realized with the ant colony algorithm to get the better results.