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Fisher's linear discriminator (FLD)
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Fisher's linear discriminator (FLD)
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Fisher's linear discriminator (FLD)
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Optimal dimension
Table 4.11:
We applied the FLD projection to various number of dimensions, using 1-NN and nearest class mean as classifiers in projected space.
Classification Rate [%]
Feature Space Dimension
1-NN
nearest
1
41.67
35.41
2
54.17
45.83
3
64.58
50.00
4
60.42
50.00
5
72.92
66.67
6
77.08
75.00
7
77.08
75.00
8
77.17
83.33
9
79.17
83.33
Figure 4.17:
The optimal feature space dimension selection for car images
Kocurek 2007-12-17