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Cover of Graph Classification And Clustering Based On Vector Space Embedding: (77 Series In Machine Perception And Artificial Intelligence)

Graph Classification And Clustering Based On Vector Space Embedding: (77 Series In Machine Perception And Artificial Intelligence)

(Hardback)

Horst Bunke, Kaspar Riesen,

World Scientific Publishing Co Pte Ltd (Publisher)

Published
2010
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Computing and Information TechnologyComputer scienceArtificial intelligencePattern recognition

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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.

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