Graph Classification and Clustering Based on Vector Space Embedding (Series In Machine Perception And Artificial Intelligence, #77) (Series In Machine Perception And Artificial Intelligence, #77)

by Kaspar Riesen and Horst Bunke

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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.
  • ISBN10 6613144509
  • ISBN13 9786613144508
  • Publish Date 29 April 2010 (first published 1 January 2010)
  • Publish Status Active
  • Out of Print 29 December 2011
  • Publish Country US
  • Imprint World Scientific Publishing Company
  • Format eBook
  • Pages 348
  • Language English