Recent trends and developments in computational multivariate analysis |
| |
Authors: | W. J. Krzanowski |
| |
Affiliation: | (1) Department of Mathematical Statistics and Operational Research, University of Exeter, Laver Building, North Park Road, Exeter, EX4 4QE, UK |
| |
Abstract: | Many traditional multivariate techniques such as ordination, clustering, classification and discriminant analysis are now routinely used in most fields of application. However, the past decade has seen considerable new developments, particularly in computational multivariate methodology. This article traces some of these developments and highlights those trends that may prove most fruitful for future practical implementation. |
| |
Keywords: | Data visualization high-dimensional data non-linear ordination non-parametric fitting resampling methods stochastic simulation |
本文献已被 SpringerLink 等数据库收录! |
|