Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation

Designing Labeled Graph Classifiers by Exploiting the Rényi Entropy of the Dissimilarity Representation

Representing patterns as labeled graphs is becoming increasingly common in the broad field of computational intelligence. Accordingly, a wide repertoire of pattern recognition tools, such as classifiers and knowledge discovery procedures, are nowadays available and tested for various datasets of lab...

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Bibliographic Details
Main Author: Lorenzo Livi
Format: Article
Language:English
Published: MDPI AG 2017-05-01
Series:Entropy
Subjects:
graph-based pattern recognition
classification of labeled graphs
dissimilarity representation
information-theoretic data characterization
Online Access:http://www.mdpi.com/1099-4300/19/5/216

Internet

http://www.mdpi.com/1099-4300/19/5/216

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