Pattern recognition based on structuralsub-pattern presentation of multivariate graph
基于多元图结构子模式表示的模式识别方法*

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.