Unsupervised Classifier Based on Heuristic Optimization and Maximum Entropy Principle

DOI10.1007/978-3-319-01128-8_2zbMath1322.68166OpenAlexW1892313398MaRDI QIDQ2950781

Angel Fernando Kuri-Morales, Edwin Aldana-Bobadilla

Publication date: 9 October 2015

Published in: EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-01128-8_2

zbMATH Keywords

clusteringgenetic algorithmsShannon's entropyBayesian classifier

Mathematics Subject Classification ID

Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Measures of information, entropy (94A17)

Related Items (1)

Clusterwise elastic-net regression based on a combined information criterion

Uses Software

• LIBSVM
• GEATbx

Cites Work

• An Experimental Study of Benchmarking Functions for Genetic Algorithms
• Learning representations by back-propagating errors
• On clustering validation techniques
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