Graph Classification And Clustering Based On Vector Space Embedding
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A01=Horst Bunke
A01=Kaspar Riesen
Author_Horst Bunke
Author_Kaspar Riesen
Category=UYQP
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Graph Classification
Graph Embedding
Graph Kernel
Prototype Selection
Structural Pattern Recognition
Product details
- ISBN 9789814304719
- Publication Date: 03 May 2010
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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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 vector.This 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.
