基于样本对加权共协关系矩阵的聚类集成算法
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王彤,魏巍,王锋
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Sample pairwise weighting co⁃association matrix based ensemble clustering algorithm
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Tong Wang,Wei Wei,Feng Wang
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表3 对于不同的参数OWEC算法的平均性能(CA)
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Table 3 Average performance of OWEC algorithm for different parameters(CA)
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Datasets | θ |
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0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 | 2.0 | 4.0 |
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Iris | 0.8567 | 0.8490 | 0.8603 | 0.8543 | 0.8480 | 0.8410 | 0.8443 | 0.8467 | 0.8560 | 0.8477 | 0.8463 | 0.8430 | Wine | 0.6646 | 0.6820 | 0.6713 | 0.6904 | 0.6483 | 0.6789 | 0.6646 | 0.6612 | 0.6840 | 0.6621 | 0.6590 | 0.6671 | Column_3C | 0.7152 | 0.7471 | 0.7690 | 0.7563 | 0.7571 | 0.7426 | 0.7450 | 0.7410 | 0.7687 | 0.7519 | 0.7518 | 0.7556 | Glass | 0.6993 | 0.7008 | 0.7098 | 0.7178 | 0.7136 | 0.7203 | 0.7231 | 0.7376 | 0.7210 | 0.7376 | 0.7210 | 0.3318 | Musk | 0.6818 | 0.7569 | 0.7420 | 0.7291 | 0.7232 | 0.7255 | 0.7450 | 0.7561 | 0.7561 | 0.7243 | 0.7143 | 0.7255 | Seeds | 0.7140 | 0.7593 | 0.7731 | 0.7743 | 0.7702 | 0.7864 | 0.7807 | 0.7624 | 0.8188 | 0.7993 | 0.7881 | 0.7793 |
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