WTALD准则下大规模数据集线性结构提取  

Extracting linear structures in very large data sets with WTALD criteria

作　　者：曹慧荣[1] 

机构地区：[1]廊坊师范学院数学与信息科学学院,河北廊坊065000

出　　处：《计算机工程与应用》2012年第11期156-160,共5页Computer Engineering and Applications

基　　金：河北省高等学校自然科学青年基金项目(No.2011115);河北省自然科学基金(No.A2011408006)

摘　　要：针对大规模数据集的线性结构提取问题,建立加权全最小一乘准则(WTALD)下的线性结构提取模型,给出了BIRCH-WTALD-LGA稳健线性结构提取新方法,数值模拟和在地震分布数据聚类分析中的应用说明该方法可以有效地提取大规模污染数据集中的线性结构。To extract the linear structures from of large data sets,the mathematical model of extracting the linear structures based on weighted total least absolute deviations criterion is proposed,and a new robust linear structures extraction method—BIRCH-WTALD-LGA is presented.It is shows that the method can effectively extract linear structures from large data set with contaminated data by means of computer simulation and application in earthquake distribution data clustering.

关 键 词：BIRCH算法 加权全最小一乘 线性结构 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]