Graph Classification And Clustering Based On Vector Space Embedding

Name: Graph Classification And Clustering Based On Vector Space Embedding
SKU: 10370590
Price: 308.99 AUD
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Hardback

Series:

Series in Machine Perception and Artificial Intelligence

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Description

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.

Release date Australia

May 3rd, 2010

Author

Audiences

Professional & Vocational
Tertiary Education (US: College)

Pages

348

Series

Series in Machine Perception and Artificial Intelligence

Dimensions

157x229x23

ISBN-13

9789814304719

Product ID

10370590

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