𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Discriminant analysis

✍ Scribed by M. M. Rao


Book ID
105635986
Publisher
Springer Japan
Year
1963
Tongue
English
Weight
688 KB
Volume
15
Category
Article
ISSN
0020-3157

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Comparison of regularized discriminant a
✍ W. Wu; Y. Mallet; B. Walczak; W. Penninckx; D.L. Massart; S. Heuerding; F. Erni πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 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

Laplacian linear discriminant analysis
✍ Hong Tang; Tao Fang; Peng-Fei Shi πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 142 KB
A nonlinear discriminant analysis
✍ N. Victor πŸ“‚ Article πŸ“… 1971 πŸ› Elsevier Science βš– 607 KB

Two linkable computer programs have been developed for a special case of nonlinear discriminant analysis. Here the discriminant formula is nonlinear because joint normal distributions are postulated, but not equal covariance matrices (abbr. CV-matrices). This generalization seems to be important to

Modified linear discriminant analysis
✍ Songcan Chen; Daohong Li πŸ“‚ Article πŸ“… 2005 πŸ› Elsevier Science 🌐 English βš– 102 KB

In this paper, a modified Fisher linear discriminant analysis (FLDA) is proposed and aims to not only overcome the rank limitation of FLDA, that is, at most only finding a discriminant vector for 2-class problem based on Fisher discriminant criterion, but also relax singularity of the within-class s