Pairwise linear discriminant analysis of m populations in R n can be regarded as a process to generate rankings of the populations. When n is small compared with m, some of the m! rankings are not generated. We give formulae for the number of generated rankings. Moreover, we give basic characterizat
โฆ LIBER โฆ
Characterization of rankings generated by linear discriminant analysis
โ Scribed by Hidehiko Kamiya; Akimichi Takemura
- Book ID
- 108185406
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 297 KB
- Volume
- 92
- Category
- Article
- ISSN
- 0047-259X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
On Rankings Generated by Pairwise Linear
โ
Hidehiko Kamiya; Akimichi Takemura
๐
Article
๐
1997
๐
Elsevier Science
๐
English
โ 440 KB
A comparison of generalized linear discr
โ
Cheong Hee Park; Haesun Park
๐
Article
๐
2008
๐
Elsevier Science
๐
English
โ 307 KB
Characterization of All Solutions for Un
โ
Chu, Delin; Goh, Siong Thye; Hung, Y. S.
๐
Article
๐
2011
๐
Society for Industrial and Applied Mathematics
๐
English
โ 247 KB
Characterization of industrial impulse n
โ
L. Thiery
๐
Article
๐
1987
๐
Elsevier Science
๐
English
โ 129 KB
Comparison of regularized discriminant a
โ
W. Wu; Y. Mallet; B. Walczak; W. Penninckx; D.L. Massart; S. Heuerding; F. Erni
๐
Article
๐
1996
๐
Elsevier Science
๐
English
โ 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
Boiling detection experiments by acousti
โ
K. Kudo; M. Ohta; T. Ohsawa
๐
Article
๐
1985
๐
Elsevier Science
๐
English
โ 365 KB