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Non‐linear canonical correlation†

 

作者: Eeke Burg,   Jan Leeuw,  

 

期刊: British Journal of Mathematical and Statistical Psychology  （WILEY Available online 1983）
卷期: Volume 36, issue 1  

页码: 54-80

 

ISSN:0007-1102

 

年代: 1983

 

DOI:10.1111/j.2044-8317.1983.tb00765.x

 

出版商: Blackwell Publishing Ltd

 

数据来源: WILEY

 

摘要:

Non‐linear canonical correlation analysis is a method for canonical correlation analysis with optimal scaling features. The method fits many kinds of discrete data. The different parameters are solved for in an alternating least squares way and the corresponding program is called CANALS. An application of CANALS is discussed and also a study of the stability of the scaling result

 

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