一种与分布无关的线性分类算法

A Linear Classifying Algorithm Without the Connection with Distribution

文章利用方差分析方法,提出了一种与分布无关的线性分类算法。用此算法分类,无需依赖实例的分布,且分类函数简单,具有较好的分类效果,它可以应用到求解各种数据挖掘问题。

This article uses the ideology of variance analysis and provides a linear classifying algorithm which is with-out the connection with distribution.Classifying with this algorithm,there is no need of dependence on the distribution of case.Furthermore,the classifying function is simple and highly effective for classifying.It can be applied for various practical data mining problems.