%0 Journal Article
%T Pattern recognition based on structuralsub-pattern presentation of multivariate graph<br>基于多元图结构子模式表示的模式识别方法*
%A GAO Hai-bo
%A HONG Wen-xue
%A CUI Jian-xin
%A ZHAO Yong
%A HAO Lian-wang
%A <br>高海波
%A 洪文学
%A 崔建新
%A 赵勇
%A 郝连旺
%J 计算机应用研究
%D 2009
%I 
%X This paper presented a novel method for pattern recognition based on graph and feature primitives presentation of multivariate graph. It showed a new thinking for the study of pattern recognition, which provided with visual method. Firstly,displayed the structural information of multivariate based on multivariate graphical presentation. Then extracted the graph primitives and feature primitives of multivariate graph and showed the object as structural sub-pattern of multivariate graph. Finally,classified the object based on the structural sub-pattern information of multivariate graph.Took some data experiments using the Iris dataset of the UCI repository of machine learning databases. The experiment results show the method for pattern recognition based on the structural sub-pattern information of multivariate graph is worth to expect.
%K pattern recognition
%K multivariate graphical presentation
%K graph primitives
%K feature primitives
%K sub-pattern<br>模式识别
%K 多元图表示
%K 图形基元
%K 特征基元
%K 子模式
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=A98ED4FB5248FC939B7D5446D4E23ED0&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=0B39A22176CE99FB&sid=811ACA5D3673A764&eid=385E3C2062167B88&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=2&reference_num=22