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Adaptive Principal Surfaces

 

作者: Michael Leblanc,   Robert Tibshirani,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1994）
卷期: Volume 89, issue 425  

页码: 53-64

 

ISSN:0162-1459

 

年代: 1994

 

DOI:10.1080/01621459.1994.10476445

 

出版商: Taylor & Francis Group

 

关键词: Multivariate adaptive regression splines;Principal components;Principal surface

 

数据来源: Taylor

 

摘要:

We develop a nonlinear generalization of principal components analysis. A principal surface of the data is constructed adaptively, using some ideas from the MARS procedure of Friedman. We explore applications to curve and surface reconstruction and to data summarization.

 

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