Skip to Main content Skip to Navigation
Journal articles

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
2 CEDRIC - MSDMA - CEDRIC. Méthodes statistiques de data-mining et apprentissage
CEDRIC - Centre d'études et de recherche en informatique et communications
Abstract : 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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01125932
Contributor : Laboratoire Cedric <>
Submitted on : Monday, March 16, 2020 - 2:45:34 PM
Last modification on : Wednesday, March 18, 2020 - 12:02:03 PM

File

art_2210.pdf
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-01125932, version 1

Collections

Citation

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, Acta Simulata Systematica Sinica, 2009, 21, pp.7048-7056. ⟨hal-01125932⟩

Share

Metrics

Record views

131

Files downloads

7