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Graph Classification And Clustering Based On Vector Space Embedding
- Binding:
- Hardback
- Pages:
- 348
- Published:
- May 3, 2010
- Dimensions:
- 163x232x25 mm.
- Weight:
- 624 g.
Delivery:
2-4 weeks
Expected delivery: October 20, 2024
Description of Graph Classification And Clustering Based On Vector Space Embedding
Focuses on a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. This title aims at condensing the high representational power of graphs into a computationally efficient and mathematically convenient feature vector.
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