Graph Classification And Clustering Based On Vector Space Embedding

Name: Graph Classification And Clustering Based On Vector Space Embedding
Brand: World Scientific Publishing Co Pte Ltd
SKU: 9789814304719
Price: 698.58 RON
Availability: InStock

Autor: Kaspar Riesen, Horst Bunke

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Legare: Copertă tare

Editura: World Scientific Publishing Co Pte Ltd

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This book is concerned with a fundamentally novel approach to graph-based pattern recognition based...

Informații despre carte

Autor

Kaspar Riesen, Horst Bunke

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2010

Pagini

348

EAN

9789814304719

ISBN

9814304719

Enbook ID

05070120

Editura

World Scientific Publishing Co Pte Ltd

Greutate

624

Dimensiuni

163 x 232 x 25

Descriere completă

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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Graph Classification And Clustering Based On Vector Space Embedding

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