摘要
引入多边矩阵的剖面压缩代数概念,介绍多边矩阵的剖面压缩代数的一些性质,论证了多边矩阵的剖面压缩代数满足结合律和分配律,研究多边矩阵的剖面压缩代数和一般矩阵半张量积、数据挖掘之间的关系,将一般矩阵半张量积的概念推广成一般矩阵压缩半张量积。
The concepts of compression algebra of multilateral matrix subdivision were introduced,and many of the basic properties of compression algebra of multilateral matrix subdivision were presented,and both associative law and distributive law for the compression algebra of multilateral matrix subdivision were demonstrated.To promote the concepts of half-tensor product of two matrixes as commonly compression half-tensor product,the relationship among the compression algebra of multilateral matrix subdivision,matrix left half-tensor product,and the data mining was investigated.
作者
罗纯
张应山
LUO Chun;ZHANG Yingshan(School of Sciences,Shanghai Institute of Technology,Shanghai 201418,China;Faculty of Economics and Management,East China Normal University,Shanghai,200241,China)
出处
《应用技术学报》
2019年第4期348-354,共7页
Journal of Technology
基金
上海市教育委员会本科重点课程建设项目(2017-349)
上海应用技术大学本科重点课程建设项目(10110M171015)资助
关键词
多边矩阵
压缩代数
半张量积
数据挖掘
multilateral matrices
compression algebra
half-tensor product
data mining