Principles of multivariate analysis: a user's perspective
Principles of multivariate analysis: a user's perspective
Accelerated learning in layered neural networks
Complex Systems
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Improving the convergence of the back-propagation algorithm
Neural Networks
Selection of variables, and assessment of their performance, in mixed-variable discriminant analysis
Computational Statistics & Data Analysis
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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.