摘要
运用图的孤立点的概念,对传统Rock算法进行了改进,提出了电子商务网站由算法本身自动生成适合的聚类集的方法,并给出了该算法的具体实现,以及与传统Rock算法的对比与分析.实验数据表明,采用Roc改进算法进行聚类要比采用传统的Rock算法具有更好的实际价值.
The conventional Rock algorithm is improved by applying the concept of acnode and puts forward E-commerce website＇s suitable clustering group method that automatically generated by algorithm itself. The realization of this algorithm is given, and comparison with conventional Rock algorithm is analysised. Experiments data indicate that the improved Rock algorithm has better implementation value than conventional Rock algorithm.
出处
《郑州轻工业学院学报（自然科学版）》
CAS
2008年第3期103-107,共5页
Journal of Zhengzhou University of Light Industry:Natural Science
