A dimension reduction method in kernel discriminant analysis is presented, based on the concept of dimension reduction subspace. Examples of application are discussed.

Adolfo Hernández

Santiago Velilla

English

Research Papers in Economics

A First Course in Multivariate Analysis,

Applied Multivariate Statistical Analysis, Upper Saddle River,

Aspects of Multivariate Statistical Theory,N e wY o r k :J o h n Wiley.

Classi…cation and Regression Trees,B e l l m o n t ,C A :W a d s w o r t h .

Construction and Assessment of Classi…cation Rules,N e wY o r k :

Density Estimation for Statistics and Data Analysis,L o n -don:

Dimension Reduction and Visualization in Discriminant Analysis (with discussion),” Australian and New Zealand

Discriminant Analysis and Statistical Pattern Recognition,

Discriminant Analysis by Gaussian Mixtures,”

Feature Extraction and Dimension Reduction with Applications to Classi…cation and the Analysis of Co-occurrence Data,” PhD Dissertation, Stanford University. 27FIGURES AND TABLES Trace Criterion Entropy Criterion s b Cs L (R) n b Ln;10 s: e: b Hs L (R) n b

Multivariate Density Estimation: Theory, Practice and Visualization,

Multivariate Observations,

Practical Optimization,N e wY o r k :

Projection pursuit (with discussion),”

Projection Pursuit Density Estimation,”

Regression Graphics: Ideas for Studying Regressions Through Graphics,

UCI Repository of Machine Learning Databases,

User’s guide for NPSOL (version 4.0): A FORTRAN package for linear programming,”

Dimension Reduction in Nonparametric Discriminant Analysis

http://docubib.uc3m.es/WORKINGPAPERS/WS/ws013925.pdf

Dimension Reduction in Nonparametric Discriminant Analysis

Abstract

Similar works

Full text

Available Versions

Research Papers in Economics