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Graph Classification And Clustering Based On Vector Space Embedding
eBook - Series In Machine Perception And Artificial Intelligence
ISBN/EAN: 9789814465038
Umbreit-Nr.: 8649513
Sprache:
Englisch
Umfang: 348 S.
Format in cm:
Einband:
Keine Angabe
Erschienen am 29.04.2010
Auflage: 1/2010
E-Book
Format: PDF
DRM: Adobe DRM
- Kurztext
- 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.