计算机科学 ›› 2020, Vol. 47 ›› Issue (5): 103-109.doi: 10.11896/jsjkx.180601099
向伟1, 王新维2
XIANG Wei1, WANG Xin-wei2
摘要： 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。
中图分类号:
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