๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Discriminant analysis: Methods and program

โœ Scribed by P Rioux; J.P Nakache


Publisher
Elsevier Science
Year
1979
Weight
271 KB
Volume
10
Category
Article
ISSN
0010-468X

No coin nor oath required. For personal study only.

โœฆ Synopsis


Because of the disparity in the results obtained using different methods of discriminant analysis, we have written and used a unique program to test them. These methods can be divided into two groups corresponding to a classical probabilistic approach (i.e., Bayesian methods) or a topological approach (i.e., Sebestyen method).

Discriminant analysis Bayesian methods Quadratic discrimination Parzen's estimators


๐Ÿ“œ SIMILAR VOLUMES


Comparison of regularized discriminant a
โœ W. Wu; Y. Mallet; B. Walczak; W. Penninckx; D.L. Massart; S. Heuerding; F. Erni ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 760 KB

Three classifiers, namely linear discriminant analysis (LDA), quadratic discriminant analysis (QDA) and regularized discriminant analysis (RDA) are considered in this study for classification based on MR data. Because NIR data sets are severely ill-conditioned, the three methods cannot be directly a