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[WYS09] Classification for Multiple Linear Regression Methods
Revue Nationale avec comité de lecture : Journal Journal of System Simulation, vol. 21(22), pp. 7048-7056, 2009Mots clés: multiple linear regression models set,distance between regression models, Models clustering, cluster analysis
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.
Equipe:
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BibTeX
| @article { | |||
| WYS09, | |||
| title | = | "{Classification for Multiple Linear Regression Methods}", | |
| author | = | "H. Wang and M. Ye and G. Saporta", | |
| journal | = | "Journal of System Simulation", | |
| year | = | 2009, | |
| volume | = | 21, | |
| number | = | 22, | |
| pages | = | "7048-7056", | |
| } | |||
