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Graph Classification And Clustering Based On Vector Space Embedding
Kaspar RiesenHorst Bunke
出版World Scientific, 2010-04-29
主題Computers / Artificial Intelligence / Computer Vision & Pattern RecognitionComputers / Artificial Intelligence / GeneralComputers / Machine TheoryComputers / Optical Data Processing
ISBN98144650389789814465038
URLhttp://books.google.com.hk/books?id=3rTFCgAAQBAJ&hl=&source=gbs_api
EBookSAMPLE
註釋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.