Linear discriminant analysis (LDA) is an effective tool in multivariate multigroup data analysis. A standard technique for LDA is to project the data from a high-dimensional space onto a perceivable subspace such that the data can be separated by visual inspection. The criterion of LDA, unfortunatel
Fuzzy linear discriminant analysis for chemical data sets
β Scribed by Zeng-Ping Chen; Jian-Hui Jiang; Yang Li; Yi-Zeng Liang; Ru-Qin Yu
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 183 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0169-7439
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β¦ Synopsis
Ε½
. This paper introduces a fuzzy linear discriminant analysis FLDA for crisp chemical data sets with a few overlapping Ε½ . 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.
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