Multi-Population Genetic Algorithm for Multilabel Feature Selection Based on Label Complementary Communication

Multi-Population Genetic Algorithm for Multilabel Feature Selection Based on Label Complementary Communication

Multilabel feature selection is an effective preprocessing step for improving multilabel classification accuracy, because it highlights discriminative features for multiple labels. Recently, multi-population genetic algorithms have gained significant attention with regard to feature selection studie...

Full description

Bibliographic Details
Main Authors: Jaegyun Park, Min-Woo Park, Dae-Won Kim, Jaesung Lee
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Entropy
Subjects:
communication
evolutionary algorithm
multilabel feature selection
multi-population genetic algorithm
Online Access:https://www.mdpi.com/1099-4300/22/8/876

Internet

https://www.mdpi.com/1099-4300/22/8/876

Similar Items