"Graph Classification and Clustering Based on Vector Space Embedding" - Information and Links:

Graph Classification and Clustering Based on Vector Space Embedding - Info and Reading Options

"Graph Classification and Clustering Based on Vector Space Embedding" was published by World Scientific Publishing Co Pte Ltd in 2010 - Singapore London, it has 331 pages and the language of the book is English.


“Graph Classification and Clustering Based on Vector Space Embedding” Metadata:

  • Title: ➤  Graph Classification and Clustering Based on Vector Space Embedding
  • Author:
  • Language: English
  • Number of Pages: 331
  • Publisher: ➤  World Scientific Publishing Co Pte Ltd
  • Publish Date:
  • Publish Location: Singapore London

“Graph Classification and Clustering Based on Vector Space Embedding” Subjects and Themes:

Edition Specifications:

  • Pagination: 348

Edition Identifiers:

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"Graph Classification and Clustering Based on Vector Space Embedding" Description:

Open Data:

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

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