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ICML
2007
IEEE
10 years 2 months ago
Adaptive dimension reduction using discriminant analysis and K-means clustering
We combine linear discriminant analysis (LDA) and K-means clustering into a coherent framework to adaptively select the most discriminative subspace. We use K-means clustering to ...
Chris H. Q. Ding, Tao Li
CVPR
2006
IEEE
10 years 3 months ago
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
Sheng Zhang, Terence Sim
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