Classification for Multiple Linear Regression Methods

多元线性回归模型的聚类分析方法研究

Huiwen Wang (1) , Ming Ye (1) , Gilbert Saporta (2)

1 BUAA - Beihang University
2 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage

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.

Mots clés: Models clustering; cluster analysis; multiple linear regression models set; distance between regression models

Mots clés: distance entre les modèles de régression; les modèles de régression linéaire multiple ensemble; Modèles de clustering; analyse typologique

Domaines: Statistiques [math.ST]; Informatique [cs]

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⟩