论文信息 - Multivariate Prediction with Nonlinear Principal Components Analysis: Theory - 字舞流文

Multivariate Prediction with Nonlinear Principal Components Analysis: Theory

J. Gower | J. Blasius

[1] J. Gower,et al. Multivariate Prediction with Nonlinear Principal Components Analysis: Application , 2005 .

[2] J. Chambers. Programming with Data: A Guide to the S Language , 1998 .

[3] P. Groenen,et al. Modern multidimensional scaling , 1996 .

[4] I. Borg,et al. Facet Theory: Form and Content , 1995 .

[5] A. Gifi,et al. NONLINEAR MULTIVARIATE ANALYSIS , 1990 .

[6] K Ruben Gabriel,et al. Biplot Display of Multivariate Matrices for Inspection of Data and Diagnosis. , 1980 .

[7] K. Gabriel,et al. The biplot graphic display of matrices with application to principal component analysis , 1971 .

[8] J. Gower. Some distance properties of latent root and vector methods used in multivariate analysis , 1966 .

[9] C. Eckart,et al. The approximation of one matrix by another of lower rank , 1936 .

[10] J. Gower. Categories and Quantities , 2002 .

[11] J. Gower,et al. Prediction Regions for Categorical Variables , 1998 .

[12] P. W. Lane,et al. Genstat 5 Release 4.1 reference manual supplement , 1997 .

[13] Sue J. Welham,et al. Genstat 5 release 3 reference manual , 1994 .

[14] J. C. Gower,et al. The Construction of Neighbour-Regions in Two Dimensions for Prediction with Multi-Level Categorical Variables , 1993 .

[15] Michael Greenacre,et al. Biplots in correspondence analysis , 1993 .