Graph Classification And Clustering Based On Vector Space Embedding is popular PDF and ePub book, written by Kaspar Riesen in 2010-04-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Graph Classification And Clustering Based On Vector Space Embedding can be Read Online from any device for your convenience.
Graph Classification And Clustering Based On Vector Space Embedding Book PDF Summary
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.
Detail Book of Graph Classification And Clustering Based On Vector Space Embedding PDF
- Author : Kaspar Riesen
- Release : 29 April 2010
- Publisher : World Scientific
- ISBN : 9789814465038
- Genre : Computers
- Total Page : 346 pages
- Language : English
- PDF File Size : 10,7 Mb
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