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Graph Classification And Clustering Based On Vector Space Embedding
Language
English
English
Book
Hardback
This book is concerned with a fundamentally novel approach to graph-based pattern recognition based...
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Libristo code: 05070120
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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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About the book
Full name
Graph Classification And Clustering Based On Vector Space Embedding
Author
Kaspar Riesen, Horst Bunke
Language
English
English
Binding
Book - Hardback
Date of issue
2010
Number of pages
348
EAN
9789814304719
ISBN
9814304719
Libristo code
05070120
Publishers
World Scientific Publishing Co Pte Ltd
Weight
624
Dimensions
163 x 232 x 25
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