HCGA: A genetic algorithm for hierarchical classification

@article{Carvalho2011HCGAAG,
  title={HCGA: A genetic algorithm for hierarchical classification},
  author={Rafael V. Carvalho and Gustavo Brunoro and Gisele Lobo Pappa},
  journal={2011 IEEE Congress of Evolutionary Computation (CEC)},
  year={2011},
  pages={933-940}
}
Hierarchical classification (HC) is a specialization of the well-known flat classification task. The main difference among them is that in HC examples have to be assigned to classes organized in a previously defined class hierarchy, while in traditional flat classification no class order is imposed. There are two main approaches commonly used to tackle HC: the top-down or local approach, which is classifier independent, and the big-bang or global approach, which usually is the product of a… CONTINUE READING
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