Parallel Fast Simulated Annealing Algorithm for Linear ...
Parallel Fast Simulated Annealing Algorithm for Linear ...
Parallel Fast Simulated Annealing Algorithm for Linear ...
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More details – classification<br />
glass<br />
9D→4D<br />
wine<br />
13D→5D<br />
WBC<br />
9D→4D<br />
vehicle<br />
18D→10D<br />
seeds<br />
7D→2D<br />
I kINIT<br />
±σ(I kINIT )<br />
71.90<br />
±8.10<br />
74.57<br />
±5.29<br />
95.88<br />
±1.35<br />
63.37<br />
±3.34<br />
90.23<br />
±2.85<br />
Our approach (P=0.1)<br />
I kRED<br />
±σ(I kRED )<br />
70.48<br />
±7.02<br />
78.00<br />
±4.86<br />
95.95<br />
±1.43<br />
63.96<br />
±2.66<br />
89.76<br />
±3.18<br />
PCA<br />
I kRED<br />
±σ(I kRED )<br />
58.33<br />
±6.37<br />
72.00<br />
±7.22<br />
95.29<br />
±2.06<br />
62.24<br />
±3.84<br />
83.09<br />
±7.31<br />
EA-based Feature Selection<br />
I kRED<br />
±σ(I kRED )<br />
64.80<br />
±4.43<br />
72.82<br />
±1.02<br />
95.10<br />
±0.80<br />
60.86<br />
±1.51<br />
not tested<br />
12
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