摘要
分类是智能信息处理的重要内容。提出一种多维点集的分类方法——多维点集的特征投影分类模型,该方法的基本思想是:首先通过特征正交投影把高维点集的分类问题转化为一维点集的分类问题,然后提出一个一维点集的分类模型。为解决分类问题提供一种较简便的数学工具。
the classification is an important part of intelligent information deposition. A classification method for multidimensional point set is presented in this paper in which the classification problem of multidimensional point set is converted into one of single dimensional point set by the characteristic orthogonal projection, then a classification model for single dimensional point set is put forward that provides a mathematical tool for the solution of classification problem.
出处
《计算技术与自动化》
2007年第3期44-47,共4页
Computing Technology and Automation
关键词
信息处理
目标分类集
正交投影
密度分布函数
分类模型
information deposition
object classification set
orthogonal projection
density distribution function
classificationmodel
