计算机工程2017，Vol.43Issue(9)：29-33,38,6.DOI:10.3969/j.issn.1000-3428.2017.09.006
改进小波聚类算法在QAR数据中的应用
Application of Improved Wavelet Clustering Algorithm in QAR Data
摘要
Abstract
Traditional wavelet clustering algorithm labels the communication unit satisfying density threshold as the same cluster,the mesh which does not meet the density threshold may have the data objects belonging to the cluster,and each dimension attribute of the data sometimes has a big gap,so that subdividing the mesh into uniform grid is not appropriate.Thus,an improved wavelet clustering algorithm is proposed.The method is used to divided the non-uniform grid,and refines further the boundary of the grid which does not satisfy the density threshold,and formats the clusters finally.By applying on the specified Quick Access Recorder (QAR) data sets,experimental results show that the improved wave cluster algorithm can effectiveing distinguish between cluster and boundary of the cluster,according to the characteristics of the data mesh,this method solves the question of the QAR data anomaly detection effectively.关键词
连通单元/小波聚类/边界网格/快速存取记录器/密度阈值Key words
communication unit/wavelet clustering/border grid/Quick Access Recorder(QAR)/density threshold分类
信息技术与安全科学引用本文复制引用
杨慧,李振,霍纬纲..改进小波聚类算法在QAR数据中的应用[J].计算机工程,2017,43(9):29-33,38,6.基金项目
国家自然科学基金(61301245) （61301245）
国家自然科学基金与中国民航联合基金(61179063). （61179063）
