Title of article
Fuzzy linear discriminant analysis for chemical data sets
Author/Authors
Chen، نويسنده , , Zeng-Ping and Jiang، نويسنده , , Jianhui and Li، نويسنده , , Zhiru Yang and Liang Tong، نويسنده , , Yi-Zeng and Yu، نويسنده , , Ru-Qin، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 1999
Pages
8
From page
295
To page
302
Abstract
This paper introduces a fuzzy linear discriminant analysis (FLDA) for crisp chemical data sets with a few overlapping data points. It is an improvement over ordinary linear discriminant analysis (OLDA). Three data sets have been analyzed, and the experimental results indicate that the performance of FLDA is superior to that of OLDA. In particular, FLDA can give more information about data structure than OLDA.
Keywords
Fuzzy linear discriminant analysis (FLDA) , Membership value , Ordinary linear discriminant analysis (OLDA) , K-nearest-neighbor rule (KNN)
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
1999
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1460054
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