改进粒子群算法在数据聚类中的应用

Principle of particle swarm algorithm and its application in function optimization

结合粒子群聚类算法和K-均值聚类算法对粒子群聚类算法进行了改进,分别通过编程展示一个具体数据聚类的实现过程,并在MATLABR2013a环境下形象地展示了数据聚类过程。

Combining the particle swarm optimization algorithm with K-means clustering algorithm,we improve the particle swarm optimization algorithm with an example to illustrate the process of a specific data clustering implementation which is realized under MATLABR2013 aenvironment.