基于多类邻域三支决策模型的不平衡数据分类

Imbalance Data Classification Based on Model of Multi-class Neighbourhood Three-way Decision

不平衡数据分类是一种重要的数据分类问题。对于不平衡数据中规模较小的类,传统的分类算法的分类效果较差。对此,提出一种多类邻域三支决策模型的不平衡数据分类算法。首先,将传统的三支决策在混合数据和多个类的情形下进行推广,提出了混合数据的多类邻域三支决策模型;然后,在该模型中给出一种自适应代价函数的设定方法,并基于该方法提出了多类邻域三支决策模型的不平衡数据分类算法。仿真实验的结果表明,所提出的分类算法对于不平衡数据具有更好的分类性能。

Imbalance data classification is an important data classification problem,traditional classification algorithm does not have better classification effect for smaller class in imbalance data.Therefore,this paper proposed an algorithm of imbalance data classification based on multi-class neighbourhood three-way decision.In the case of mixed data and multiple classes,traditional three-way decision is firstly generalized,and the multi-class neighbourhood three-way decision model of mixed data is presented.Then,a setting method of self-adaption cost function is given in the model,and based on this method,the algorithm of imbalance data classification of multi-class neighbourhood three-way decision model is proposed.Simulation experiment results show that the proposed classification algorithm has better classification performance for imbalance data.