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. 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 III.

The correct classification percentages for data set 3 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 87.6 88.9 88.5 88.5 87.6 89.8 90.0 89.8 89.4 89.5
e2 57.2 59.5 61.1 62.7 63.0 77.2 78.5 79.2 79.6 80.3
e1&e2 86.5 87.7 88.3 88.7 88.8 94.4 95.2 95.6 95.2 95.0
db4 e1 86.1 86.9 86.8 86.7 86.4 87.9 88.2 87.9 88.1 87.8
e2 58.6 59.1 61.1 61.7 62.1 77.9 79.7 81.6 82.0 82.0
e1&e2 86.2 87.4 88.2 88.1 88.3 93.8 94.5 95.0 94.7 94.3
db6 e1 87.2 87.6 87.5 87.3 87.3 88.9 89.0 89.1 88.3 88.2
e2 55.2 56.2 56.7 58.7 59.4 74.5 77.2 78.6 78.9 79.0
e1&e2 83.3 84.6 84.8 85.2 85.2 93.4 94.2 94.3 94.3 94.0
db12 e1 86.1 86.8 87.2 86.9 86.9 87.0 87.8 87.9 88.0 87.1
e2 38.6 40.6 41.9 43.9 45.2 66.6 68.9 70.6 71.7 72.1
e1&e2 76.9 79.6 80.3 80.5 80.2 93.1 93.9 94.3 94.0 94.0