计算机应用与软件2024，Vol.41Issue(5)：264-273,10.DOI:10.3969/j.issn.1000-386x.2024.05.040
基于证据理论的三向密度峰值聚类
THREE-WAY DENSITY PEAK CLUSTERING BASED ON EVIDENCE THEORY
摘要
Abstract
In order to avoid the error propagation of clustering labels and fully mine the neighborhood information,a three-way density peak clustering method based on evidence theory is proposed.The clustering information of k-nearest neighbor was considered when non grouping points were allocated,which was conducive to improving the clustering accuracy.The evidence theory was used to describe and combine these neighbor information,so that the established three-way clustering model could assign them to the most likely clusters,thus effectively avoiding the propagation of wrong labels in the peak density clustering algorithm.Experimental results on several data sets show that the proposed method can effectively avoid the error propagation of clustering labels and achieve high clustering accuracy.关键词
密度峰值聚类/标签错误传播/三向理论/证据理论Key words
Density peak clustering/Label error propagation/Three-way theory/Evidence theory分类
信息技术与安全科学引用本文复制引用
赵乌吉斯古楞,凃云杰..基于证据理论的三向密度峰值聚类[J].计算机应用与软件,2024,41(5):264-273,10.基金项目
内蒙古自治区自然科学基金项目(2017MS(LH)0682) （2017MS(LH）
呼伦贝尔学院科学技术研究项目(2018JYYB06,2019KCZD01). （2018JYYB06,2019KCZD01）
