多元线性回归模型的聚类分析方法研究 - Archive ouverte HAL
Article Dans Une Revue Xitong Fangzhen Xuebao/Acta Simulata Systematica Sinica Année : 2009

Classification for Multiple Linear Regression Methods

多元线性回归模型的聚类分析方法研究

Résumé

A cluster analysis method on massive multiple linear regression models was proposed.Firstly, the concepts such as distance between two multiple regression models, the centroid and radius of multiple linear regression model set were defined by using the correlation coefficient matrix of augmented matrix.Then Squeezer cluster method was applied to realize the cluster analysis on multivariate linear regression models based on entire automation of the process.The simulation case confirms validity of this method and lead to satisfactory results.
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Dates et versions

hal-01125932 , version 1 (16-03-2020)

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  • HAL Id : hal-01125932 , version 1

Citer

Huiwen Wang, Ming Ye, Gilbert Saporta. 多元线性回归模型的聚类分析方法研究. Xitong Fangzhen Xuebao/Acta Simulata Systematica Sinica, 2009, 21, pp.7048-7056. ⟨hal-01125932⟩

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