基于改进局部密度的可扩展层次聚类算法
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陈斌, 谢文波, 付勋, 张恒基, 王欣
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Density⁃based scalable hierarchical clustering
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Bin Chen, Wenbo Xie, Xun Fu, Hengji Zhang, Xin Wang
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表2 本文算法和对比算法在UCI数据集上的聚类结果
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Table 2 The clustering results of our algorithm and other algorithms on UCI datasets
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| 数据集 | 算法 | RI | ARI | NMI | 数据集 | 算法 | RI | ARI | NMI |
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| mfeat⁃fourier | DBSC(opt=0.65) | 0.8810 | 0.3680 | 0.5345 | mfeat⁃karhune | DBSC(opt=0.2) | 0.9305 | 0.6261 | 0.7384 | | DBSC(0.7) | 0.8308 | 0.3204 | 0.5163 | DBSC(0.7) | 0.9090 | 0.5385 | 0.6990 | | HAC | 0.1818 | 0.0040 | 0.0816 | HAC | 0.5016 | 0.1030 | 0.3423 | | Affinity | 0.7980 | 0.2159 | 0.4523 | Affinity | 0.8965 | 0.5086 | 0.6778 | | DPC | 0.5036 | 0.0796 | 0.1897 | DPC | 0.7228 | 0.1766 | 0.3798 | | GRINCH | 0.1988 | 0.0002 | 0.0159 | GRINCH | 0.2091 | <0.0001 | 0.0233 | | HK⁃means | 0.8562 | 0.3169 | 0.4557 | HK⁃means | 0.8959 | 0.3964 | 0.5316 | | Munec | 0.8168 | 0.2581 | 0.4821 | Munec | 0.8729 | 0.3294 | 0.6209 | | RSC | 0.8367 | 0.3195 | 0.5046 | RSC | 0.8830 | 0.5172 | 0.7110 | | SCC | 0.1028 | <0.0001 | 0.0028 | SCC | 0.4869 | 0.0261 | 0.1333 | | streaKHC | 0.8619 | 0.3035 | 0.4220 | streaKHC | 0.8737 | 0.3539 | 0.4710 | | mfeat⁃zernike | DBSC(opt=0.35) | 0.9084 | 0.5174 | 0.6270 | segment | DBSC(opt=0.3) | 0.8910 | 0.5584 | 0.6396 | | DBSC(0.7) | 0.8729 | 0.4322 | 0.6009 | DBSC(0.7) | 0.8862 | 0.5434 | 0.6246 | | HAC | 0.5733 | 0.1368 | 0.4016 | HAC | 0.5983 | 0.2394 | 0.5757 | | Affinity | 0.8036 | 0.2592 | 0.4650 | Affinity | 0.8752 | 0.5090 | 0.6481 | | DPC | 0.4934 | 0.0296 | 0.0617 | DPC | 0.3970 | 0.0122 | 0.0320 | | GRINCH | 0.3800 | 0.0601 | 0.1636 | GRINCH | 0.5897 | 0.2385 | 0.3908 | | HK⁃means | 0.8565 | 0.3195 | 0.4323 | HK⁃means | 0.8412 | 0.4165 | 0.5391 | | Munec | 0.8293 | 0.2354 | 0.5365 | Munec | 0.8428 | 0.2052 | 0.5154 | | RSC | 0.8893 | 0.4667 | 0.5903 | RSC | 0.7311 | 0.3043 | 0.5329 | | SCC | 0.6082 | 0.0701 | 0.1829 | SCC | 0.6148 | 0.2139 | 0.3669 | | streaKHC | 0.8609 | 0.3158 | 0.4358 | streaKHC | 0.8592 | 0.4625 | 0.5699 | | optdigits | DBSC(opt=0.15) | 0.9722 | 0.8401 | 0.8694 | letter | DBSC(opt=0.4) | 0.9261 | 0.1355 | 0.4027 | | DBSC(0.7) | 0.9576 | 0.7603 | 0.8373 | DBSC(0.7) | 0.9140 | 0.1303 | 0.3941 | | HAC | 0.8956 | 0.5517 | 0.7341 | HAC | 0.7841 | 0.0608 | 0.3342 | | Affinity | 0.9640 | 0.8010 | 0.8433 | Affinity | 0.9047 | 0.1283 | 0.3830 | | DPC | 0.6551 | 0.1146 | 0.2730 | DPC | 0.0663 | 0.0001 | 0.0066 | | GRINCH | 0.2754 | 0.0160 | 0.1001 | GRINCH | 0.2311 | 0.0017 | 0.0514 | | HK⁃means | 0.9119 | 0.5374 | 0.6347 | HK⁃means | 0.8323 | 0.0713 | 0.2440 | | Munec | 0.7739 | 0.1791 | 0.5729 | Munec | 0.5131 | 0.0092 | 0.2367 | | RSC | 0.8623 | 0.4832 | 0.7013 | RSC | 0.9145 | 0.1498 | 0.3927 | | SCC | 0.7108 | 0.1906 | 0.3654 | SCC | 0.3948 | 0.0059 | 0.0511 | | streaKHC | 0.8946 | 0.4515 | 0.5507 | streaKHC | 0.9125 | 0.0836 | 0.2396 | | avila | DBSC(opt=0.15) | 0.7249 | 0.0929 | 0.1842 | Mean | DBSC(opt) | 0.8906 | 0.4483 | 0.5708 | | DBSC(0.7) | 0.7134 | 0.0643 | 0.1820 | DBSC(0.7) | 0.8691 | 0.3985 | 0.5527 | | HAC | 0.2820 | <0.0001 | 0.0328 | HAC | 0.5452 | 0.1557 | 0.3575 | | Affinity | 0.7113 | 0.0528 | 0.1617 | Affinity | 0.8505 | 0.3535 | 0.5188 | | DPC | 0.5009 | 0.0151 | 0.0814 | DPC | 0.4770 | 0.0611 | 0.1463 | | GRINCH | 0.2967 | 0.0069 | 0.0420 | GRINCH | 0.3115 | 0.0461 | 0.1124 | | HK⁃means | 0.2598 | <0.0001 | 0.0199 | HK⁃means | 0.7791 | 0.2932 | 0.4082 | | Munec | 0.5761 | 0.0480 | 0.1615 | Munec | 0.7464 | 0.1806 | 0.4466 | | RSC | 0.5271 | 0.0224 | 0.0714 | RSC | 0.8063 | 0.3233 | 0.5006 | | SCC | 0.2484 | <0.0001 | 0.0284 | SCC | 0.4524 | 0.0716 | 0.1615 | | streaKHC | 0.7224 | 0.0245 | 0.0886 | streaKHC | 0.8550 | 0.2850 | 0.3968 |
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