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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| Format: | Article |
| Language: | English |
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MDPI AG
2017-05-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/19/5/216 |