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Computational Intelligence and Neuroscience
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Computational Intelligence and Neuroscience
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2017
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Article
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Tab 6
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Research Article
A Novel Graph Constructor for Semisupervised Discriminant Analysis: Combined Low-Rank and
-Nearest Neighbor Graph
Table 6
Classification accuracy of different graphs with varying variance multiplicative noise.
Multiplicative
0
0.02
0.04
0.06
0.08
0.1
LRKNN
0.901786
0.883571
0.886071
0.881786
0.873214
0.855357
LR
0.620357
0.597143
0.579643
0.566786
0.545
0.536429
SR-
0.811786
0.804286
0.779286
0.750357
0.75
0.719286
SR
0.750714
0.7225
0.657857
0.574286
0.52
0.47
LLE-
0.751429
0.731071
0.645357
0.548214
0.510714
0.447857
LLE
0.779286
0.724643
0.658214
0.566786
0.507857
0.472143
KNNK
0.612487
0.551147
0.508219
0.466734
0.4441
0.423919
KNNB
0.645828
0.587767
0.528635
0.498222
0.481003
0.476331