摘要
线性回归是利用称为线性回归方程的最小二乘函数对一个或多个自变量和因变量之间关系进行建模的一种回归分析。在数据挖掘中占有十分重要的地位。而强局部加权回归方法应用得尤为广泛。本文建立了变参数回归模型，并在算法上加以实现。
Regression analysis includes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables .It plays a very important position in Data Mining. And application of robust locally weighted regression algorithm is particularly extensive.In this paper, provides a kind of model of varying parameter regression and implementation it in algorithm.
作者
虞乐
肖基毅
YULe, XIAO Ji-yi （Institute of Computer Science＆Technology, University of South China, Hengyang 421001, China）
出处
《电脑知识与技术》
2012年第3期1493-1495,共3页
Computer Knowledge and Technology
关键词
数据挖掘
变参数回归模型
强局部加权回归
data mining
varying parameter regression model
robust locally weighted regression
