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. Author manuscript; available in PMC: 2009 Jul 6.
Published in final edited form as: IEEE Trans Pattern Anal Mach Intell. 2005 Jun;27(6):1004–1008. doi: 10.1109/TPAMI.2005.126

Table 4.

The correct classification percentages for data set 2 using the proposed method with feature e1, different wavelet bases, and different k values in k-NN classifier.

Wavelet Bases Features k
1 3 5 1 3 5
Before Weight After Weight
db4 e1 93.4 91.9 91.0 95.3 93.8 92.9
db6 e1 94.0 92.4 91.3 96.0 94.0 93.1
db8 e1 93.5 92.2 91.5 95.2 93.8 93.0
db12 e1 93.4 91.9 90.7 94.8 93.5 92.5