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Graph Classification and Clustering Based on Vector Space Embedding
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Artikel-Nr:
9789814304719
Veröffentl:
2010
Einband:
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Erscheinungsdatum:
29.04.2010
Seiten:
348
Autor:
Kaspar Riesen
Gewicht:
657 g
Format:
235x157x23 mm
Sprache:
Englisch
Beschreibung:
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.
Introduction and Basic Concepts; Graph Matching; Graph Edit Distance; Graph Data; Kernel Methods; Graph Embedding Using Dissimilarities; Classification Experiments of Vector Space Embedded Graphs; Clustering Experiments of Vector Space Embedded Graphs.