참고문헌
- Gabriel, K. R. (1971). The biplot display of matrices with the application to principal component analysis, Biometrika, 58, 453-467. https://doi.org/10.1093/biomet/58.3.453
- Hastie, T., Tibshirani, R. and Friedman, J. (2009). The Elements of Statistical Learning, Second Edition, Springer, New York.
- Karatzoglou, A., Smola, A., Hornik, K. and Zeileis, A. (2004). 'kernlab' - An S4 package for kernel methods in R, Journal of Statistical Software, 11, 1-20.
- Karatzoglou, A., Smola, A. and Hornik, K. (2012). R Package 'kernlab' (Version 0.9-15), http://cran.r-project.org/
- Scholkopf, B., Smola, A. and Muller, K. R. (1998). Nonlinear component analysis as a kernel eigenvalue problem, Neural Computation, 10, 1299-1319. https://doi.org/10.1162/089976698300017467
피인용 문헌
- SVM-Guided Biplot of Observations and Variables vol.20, pp.6, 2013, https://doi.org/10.5351/CSAM.2013.20.6.491
- Global and Local Views of the Hilbert Space Associated to Gaussian Kernel vol.21, pp.4, 2014, https://doi.org/10.5351/CSAM.2014.21.4.317