单纯形格点剖分下的混料型数据的分类算法  

Classification Algorithm for Mixture Data Under Simplex Lattice Dissection

作　　者：李光辉[1] 李俊鹏 陈守维 LI Guanghui;LI Junpeng;CHEN Shouwei(School of Microelectronics and Artificial Intelligence,Kaili University,Kaili Guizhou 556011,China;School of Science,Kaili University,Kaili Guizhou 556011,China)

机构地区：[1]凯里学院微电子与人工智能学院,贵州凯里556011 [2]凯里学院理学院,贵州凯里556011

出　　处：《佳木斯大学学报（自然科学版）》2024年第7期168-172,共5页Journal of Jiamusi University：Natural Science Edition

基　　金：国家自然科学基金青年项目(11901260);贵州省科学技术基金(黔科合基础[2020]1Y010);凯里学院博士专项课题(BS201807);教育部微纳与智能制造工程研究中心开放基金项目([2024]WZG04)。

摘　　要：为了实现混料型数据的分类与识别,提出一类单纯形剖分算法.首先给出了混料系统和置换点集的概念,然后提出了两类正规单纯形剖分方法,进而对混料型数据进行分类识别,通过实例验证,单纯形剖分方法对于混料数据的分类是有效的.In order to achieve the classification and recognition of mixture data,a class of simplex meshing algorithms is proposed.Firstly,the concepts of mixture system and permutation point set were introduced,and then two types of normal simplex meshing methods were proposed to classify and iden-tify mixing type data.Through examples,it was verified that the simplex meshing method is effective in classifying mixture data.

关 键 词：混料数据 格子点集 置换点集 

分 类 号：O213[理学—概率论与数理统计]