참고문헌
- Biometrika v.68 On two families of transformations to additivity for binary response data Aranda-Ordaz, F. J.
- The Korean Journal of Applied Statistics v.5 A simulation study on projection pursuit discriminant analysis Ahn, K. A.;Rhee, S. S.
- The Korean Journal of Applied Statistics v.13 Kernal pattern recognition using K-means clustering method Baek, J. S.;Sim, J. W.
- Dynamic Graphics for Statistics Dynamic graphics for data analysis Becker, R. A.;Cleveland, W. S.;Wilks, A. R.;W. S. Cleveland(ed.);M. E. McGill(ed.)
- Australian Journal of Zoology v.22 A multivariate study of variation in two species of rock crab of genus Leptograpsus Campbell, M. A.;Mahon, R. J.
- Journal of Computational and Graphical Statistics v.6 Manual controls for high-dimensional data projections Cook, D.;Buja, A.
- Journal of Computational and Graphical Statistics v.4 Grand tour and projection pursuit Cook, D.;Buja, A.;Cabrera, J.;Hurley, C.
- Cluster Analysis Everitt, B. S.
- IEEE Transactions for Computers v.23 A projection pursuit algorithm for exploratory data analysis Friedman, J. H.;Tukey, J. W.
- Clustering Algorithms Hartigan, J. A.
- The Korean Journal of Applied Statistics v.13 Double K-means clustering Huh, M. H.
- Recent Advances in Statistical Research and Data Analysis Setting the number of clusters in K-means clustering: Exploratory approach Huh, M. H.;Y. Baba(ed.)
- Journal of Data Science and Classification v.4 Low-dimensional K-means clustering 1: Iterative canonical transforms method Huh, M. H.;Kim, M. K.
- The Korean Communications in Statistics v.8 Variable arrangement for data visualization Huh, M. Y.;Song, K. R.
- Journal of the Korean Statistical Society v.29 On a modified k-spatial medians clustering Jhun, M. S.;Jin, S. H.
- Ph.D. Dissertation, Korea University Low-dimensional K-means Clustering Kim, M. K.
- The Journal of Data Science and Classification v.3 Interactive visualization of K-means and hierachical clusters Kim, S. S.
- Metrika v.51 Interactive visualization of hierarchical clusters using MDS and MST Kim, S. S.;Kwon, S.;Cook, D.
- The Korean Journal of Applied Statistics v.8 A clustering method using the Coulomb energy network Lee, ,S. H.;Park, N. H.;Kim, Y. H.
- Psychomertika v.45 An examination fo the effect of six types of error perturbation of fifteen clustering algorithms Milligan, G. W.
- Multivariate Behavioral Research v.16 A review of Monte Carlo tests of cluster analysis Milligan, G. W.
- The Korean Communications in Statistics v.7 Prediction and classification using projection pursuit regression with automatic order selection Park, H. J.;Choi, D. W.;Koo, J. Y.
- Communications in Statistics-Simulation and Computation v.19 An effective two-dimensional projection pursuit algorthm Posse, C.
- Journal of Computational and Graphical Statics v.4 Tools for two-dimensional exploratory prohection pursuit Posse, C.
- Pattern Recognition and Neural Networks Ripley, R.D.
- Sankhya v.A57 Asymptoties of K-means clustering based on projection pursuit Stute, W.;Zhu, L. X.
- Dynamic Graphics for Statistics Dynamic graphics for data analysis Young, F. W.;Kent, D. P.;Kuhfeld, W. F.;W. S. Cleveland(ed.);M. E. McGill(ed.)