A combination of Genetic Programming and Cluster Analysis for Single Class
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{To:2006:ASPGP,
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title = "A combination of Genetic Programming and Cluster
Analysis for Single Class",
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author = "Cuong To and Jiri Vohradsky",
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booktitle = "Proceedings of the Third Asian-Pacific workshop on
Genetic Programming",
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year = "2006",
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editor = "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
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pages = "13--23",
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ISSN = "18590209",
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address = "Military Technical Academy, Hanoi, VietNam",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://gpbib.cs.ucl.ac.uk/aspgp06/To_Vohradsky_ASPGP06_finalcopy.pdf",
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size = "11 pages",
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abstract = "algorithm for single class based on genetic
programming (GP) is introduced. Single class problem is
converted into symbolic regression, and then genetic
programming is used to search a polynomial function
which approximates symbolic regression problem. Four
real databases (one transcriptomics, one proteomics,
and two breast cancers) were used to test the algorithm
and a comparison with six well-known algorithms was
done. The results prove that the algorithm is a rather
good one.",
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notes = "broken march 2020 http://www.aspgp.org",
- }
Genetic Programming entries for
Cuong Chieu To
Jiri Vohradsky
Citations