A Tri-objective Method for Bi-objective Feature Selection in Classification

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Title

A Tri-objective Method for Bi-objective Feature Selection in Classification

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

Minimizing the number of selected features and maximizing the classification performance are two main objectives in feature selection, which can be formulated as a biobjective optimization problem. Due to the complex interactions between features, a solution (i.e., feature subset) with poor objective values does not mean that all the features it selects are useless, as some of them combined with other complementary features can greatly improve the classification performance. Thus, it is neces...

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Format

Research paper

Research format

Scholarly text / Journal article

Date created

2023

Creator

Ruwang Jiao / Bing Xue / Mengjie Zhang

URL

https://figshare.com/articles/journal_contribution/A_Tri-objective_Method_for_Bi-objective_Featur...

Related subjects

Information and computing sciences / Artificial intelligence / Mathematical sciences / Evolutionary learning / classification / feature selection / multi-objective optimization / Information and Computing Sciences / Artificial Intelligence / Mathematical Sciences / Artificial Intelligence & Image Processing

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