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: 2945 CZK
Availability: InStock

Autor: Kaspar Riesen, Horst Bunke

Jazyk:

Vazba: Pevná

Vydavatel: World Scientific Publishing Co Pte Ltd

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

Kaspar Riesen, Horst Bunke

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2010

Stránek

348

EAN

9789814304719

ISBN

9814304719

Enbook ID

05070120

Vydavatel

World Scientific Publishing Co Pte Ltd

Hmotnost

624

Rozměry

163 x 232 x 25

Kompletní popis

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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