Hierarchical multi-class LAD based on OvA-binary tree using genetic algorithm
作者：
Highlights：
• We propose a hierarchical multi-class classification method using LAD based on OvA-binary tree.
• We suggest an efficient node partitioning method for constructing an OvA-binary tree.
• We design an efficient genetic algorithm to generate OvA-type LAD patterns for hierarchical multi-class classification.
• We develop the procedures to build and explore OvA-binary tree for multi-class classification.
• We show the superiority of the suggested algorithm through a numerical experiment.
摘要
•We propose a hierarchical multi-class classification method using LAD based on OvA-binary tree.•We suggest an efficient node partitioning method for constructing an OvA-binary tree.•We design an efficient genetic algorithm to generate OvA-type LAD patterns for hierarchical multi-class classification.•We develop the procedures to build and explore OvA-binary tree for multi-class classification.•We show the superiority of the suggested algorithm through a numerical experiment.
论文关键词：Hierarchical multi-class classification,Logical analysis of data,One versus all-binary tree,Genetic algorithm,Classification accuracy
论文评审过程：Available online 29 June 2015, Version of Record 15 July 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.037
