DocumentCode
2434598
Title
Application of improved Fisher Linear Discriminant Analysis approaches
Author
Zhang, Lishi ; Wang, Dehong ; Gao, Shengzhe
Author_Institution
Sch. of Sci., Dalian Ocean Univ., Dalian, China
fYear
2011
fDate
8-11 Jan. 2011
Firstpage
1311
Lastpage
1314
Abstract
The objective of discriminant analysis is to use information from the independent variables to achieve the clearest possible separation or discrimination between or among groups, the main task of the present work is to modify the objective functions and make the separation as large as possible. Fisher Linear Discriminant Analysis approach is modified to meet the requirement that maximizes the objective function, some computer simulations show that the modified ones can achieve the same results as the previous one.
Keywords
pattern recognition; statistical analysis; Fisher linear discriminant analysis; computer simulations; objective function; Accuracy; Classification algorithms; Computer simulation; Iris; Linear discriminant analysis; Oceans; Pattern recognition; fuzzy c-means; iris data; linear discriminant analysis; wine classification data;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-8383-9
Type
conf
DOI
10.1109/MSIE.2011.5707664
Filename
5707664
Link To Document