计算机工程与应用Issue(8)：72-76,5.DOI:10.3778/j.issn.1002-8331.1212-0093
一种改进的DBSCAN算法及其应用
Improved DBSCAN algorithm and its application
摘要
Abstract
For massive data such as network traffic, DBSCAN has weakness of greatly time consuming, it has poor clus-tering effect for some network protocol as well. In the context of network traffic classification via HMM, an improved DBSCAN algorithm is put forward. The algorithm improves the time efficiency and accuracy by reducing the time of que-rying. The improved algorithm is used to construct the HMM of network traffic automatically based on the divided-and-conquer strategy. The experimental result shows that the algorithm improves time efficiency greatly. It can correctly build the HMM model for traffic.关键词
DBSCAN算法/隐马尔科夫模型(HMM)/分治/自动建模Key words
DBSCAN algorithm/Hidden Markov Model(HMM)/divide-and-conquer/automatically modeling分类
信息技术与安全科学引用本文复制引用
李双庆,慕升弟..一种改进的DBSCAN算法及其应用[J].计算机工程与应用,2014,(8):72-76,5.基金项目
国家自然科学基金（No.71102065）。 （）
