Skip to main content
. Author manuscript; available in PMC: 2009 Mar 27.
Published in final edited form as: IEEE Trans Image Process. 2005 Jun;14(6):783–795. doi: 10.1109/tip.2005.847302

TABLE II.

The correct classification percentages for data set 2 using different wavelet bases, feature sets, and k values for k-NN classifier

k
Wavelet Bases Features 1 3 5 7 9 1 3 5 7 9

Before Weight After Weight
db2 e1 94.2 93.2 92.4 91.7 90.4 94.9 94.8 94.0 93.4 92.4
e2 82.4 84.1 84.0 84.1 84.1 90.4 91.7 91.8 92.1 92.1
e1&e2 92.6 93.8 94.1 94.0 93.9 96.5 96.4 96.2 95.7 95.7

db4 e1 93.3 92.8 91.9 91.9 91.2 95.6 94.7 94.7 94.1 92.8
e2 82.1 83.7 85.2 85.5 86.0 93.0 94.3 94.1 94.3 94.3
e1&e2 94.3 94.9 94.9 95.1 95.4 97.1 97.3 97.2 96.8 96.3

db6 e1 93.9 93.9 93.5 93.1 92.3 95.5 95.1 94.7 94.4 93.2
e2 79.0 80.9 82.4 82.9 82.7 91.6 92.5 92.6 92.8 92.9
e1&e2 93.1 94.2 94.4 94.7 94.5 96.7 97.4 97.1 97.0 96.6

db12 e1 94.6 94.0 93.8 93.6 93.0 95.6 95.5 95.1 94.9 93.8
e2 68.8 71.5 72.8 74.5 75.5 85.4 87.6 88.3 88.8 89.3
e1&e2 89.6 91.5 91.5 91.9 91.8 96.4 96.8 97.2 96.7 96.1