Graph Classification And Clustering Based On Vector Space Embedding

丛 书 名：Series in Machine Perception and Artificial Intelligence, v. 77

作     者：Kaspar Riesen Horst Bunke 

I S B N：(纸本) 9789814304719;9789814304726 

出 版 社：World Scientific 

出 版 年：2010年

页      数：346页

主 题 词：Vector spaces Optical pattern recognition Artificial intelligence--Graphic methods 

学科分类：1305[艺术学-设计学（可授艺术学、工学学位）] 12[管理学] 13[艺术学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

馆 藏 号：201581699...

摘      要：This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature *** volume utilizes the dissimilarity space representation originally proposed by Duin and Pekalska to embed graphs in real vector spaces. Such an embedding gives one access to all algorithms developed in the past for feature vectors, which has been the predominant representation formalism in pattern recognition and related areas for a long time.