Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Graph Classification & Clustering .(V77)

Graph Classification & Clustering .(V77)

Riesen Kaspar

Hardcover

Series: Machine Perception and Artificial Intelligence, Book 77

General Computers

ISBN10: 9814304719
ISBN13: 9789814304719
Publisher: World Scientific Publishing Company
Published: Jul 30 2010
Pages: 348
Weight: 1.40
Height: 0.90 Width: 6.20 Depth: 9.00
Language: English
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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