Linear discriminant analysis (LDA) is a simple but widely used algorithm in the area of pattern recognition. However, it has some shortcomings in that it is sensitive to outliers and limited to linearly separable cases. To solve these problems, in this paper, a non-linear robust variant of LDA, call
Fuzzy discriminant analysis in fuzzy groups
β Scribed by Junzo Watada; Hideo Tanaka; Kiyoji Asai
- Publisher
- Elsevier Science
- Year
- 1986
- Tongue
- English
- Weight
- 390 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0165-0114
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