Graph Classification and Clustering Based on Vector Space Embedding
Book Details
Format
Hardback
ISBN-10
9814304719
ISBN-13
9789814304719
Publisher
World Scientific Publishing Co Pte Ltd
Imprint
World Scientific Publishing Co Pte Ltd
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 3rd, 2010
Print length
348 Pages
Weight
624 grams
Dimensions
23.20 x 16.30 x 2.50 cms
Product Classification:
Pattern recognition
KSh 19,800.00
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Focuses on a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. This title aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.
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.
Get Graph Classification and Clustering Based on Vector Space Embedding by Horst Bunke, Kaspar Riesen at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by World Scientific Publishing Co Pte Ltd and it has 348 pages.
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