摘要
将自组织映射神经网络(SOM)与FCM结合,利用SOM的并行计算能够减少模糊C均值算法在处理海量数据时的聚类时间,可以提高聚类算法的速度和效果,同时使用该算法对校园网Web日志进行数据挖掘,能够对用户行为进行分析,从而提出相应的方法,更好地提高服务效率和管理质量。
The self-organizing map（SOM）neural network and FCM（fuzzy C mean）algorithm, using SOM parallel computing is able to reduce the fuzzy C means algorithm in clustering time when dealing with massive data, can improve the speed of clustering algorithm and the effect. At the same time using this algorithm on campus network Web log data mining, can the user behavior analysis, and puts forward corresponding methods, improve service efficiency and quality management.
出处
《电脑编程技巧与维护》
2012年第14期40-42,共3页
Computer Programming Skills & Maintenance
