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Graph Classification and Clustering Based on Vector Space Embedding (English, Kaspar Riesen | Horst Bunke)
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Specifications
| Publisher | World Scientific Publishing Company |
| Language | English |
| ISBN-13 | 9789814304719 |
| ISBN-10 | 9814304719 |
| Author | Kaspar Riesen | Horst Bunke |
Product Description
Here on GlowMirror, you'll find Graph Classification and Clustering Based on Vector Space Embedding filed under World Scientific Publishing Company -- everything you need to know is covered below.
About the Book
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 acc…
ISBN: 9789814304719
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Graph Classification and Clustering Based on Vector Space Embedding
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in World Scientific Publishing Company
Who Should Read This
Students and professionals interested in World Scientific Publishing Company, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Frequently Asked Questions
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Is Graph Classification and Clustering Based on Vector Space Embedding available in English?
Graph Classification and Clustering Based on Vector Space Embedding is available in English on GlowMirror.
Who is the author of Graph Classification and Clustering Based on Vector Space Embedding?
Graph Classification and Clustering Based on Vector Space Embedding is authored by Kaspar Riesen | Horst Bunke.
Who published Graph Classification and Clustering Based on Vector Space Embedding?
Graph Classification and Clustering Based on Vector Space Embedding is published by World Scientific Publishing Company.
How many pages does Graph Classification and Clustering Based on Vector Space Embedding have?
Page count information for Graph Classification and Clustering Based on Vector Space Embedding is available in the specifications section of this page.
How long does it take to read Graph Classification and Clustering Based on Vector Space Embedding?
At an average reading speed of 250 words per minute, reading Graph Classification and Clustering Based on Vector Space Embedding takes a few hours to a few days depending on reading pace.
What is Graph Classification and Clustering Based on Vector Space Embedding about?
About the Book
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...
Is Graph Classification and Clustering Based on Vector Space Embedding suitable for beginners?
Whether Graph Classification and Clustering Based on Vector Space Embedding is suitable for beginners depends on your background in World Scientific Publishing Company. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is Graph Classification and Clustering Based on Vector Space Embedding?
Graph Classification and Clustering Based on Vector Space Embedding is from the World Scientific Publishing Company edition/year. Check the specifications section for full edition details.
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Graph Classification and Clustering Based on Vector Space Embedding listed on GlowMirror is a brand new book in good condition.
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