基于极大相容块的邻域粗糙集模型
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程永林,李德玉,王素格
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Neighborhood rough set model based on maximal consistent blocks
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Yonglin Cheng,Deyu Li,Suge Wang
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表6 最优属性子集在KNN(k=3)下的分类精度
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Table 6 The classification accuracy with KNN(k=3)
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Data | RAW | NRS | VP?NRS | MAX?NRS | NMCBRS |
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Wine | 94.21±6.77 | 97.60±4.47 | 94.73±6.08 | 97.89±2.72 | 97.44±3.65 | Wdbc | 97.23±1.81 | 96.02±2.00 | 96.71±2.76 | 96.01±2.18 | 95.26±2.40 | Glass | 89.61±5.17 | 90.67±2.68 | 87.87±7.87 | 93.11±6.49 | 93.71±6.45 | Wpbc | 70.14±8.79 | 76.44±11.80 | 76.89±8.58 | 75.42±11.91 | 81.82±7.93 | Ionos | 83.52±9.53 | 86.01±6.26 | 85.01±4.49 | 85.18±5.19 | 89.18±3.97 | Snoar | 80.23±9.65 | 81.40±9.18 | 80.14±8.43 | 81.32±6.71 | 81.51±9.06 | Cancer | 96.62±3.94 | 96.38±6.38 | 89.00±4.75 | 95.78±1.51 | 96.68±2.02 | Average | 87.36±6.52 | 89.21±6.11 | 87.19±6.13 | 89.24±5.24 | 90.85±5.21 |
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