Research Article
Density Peaks Clustering Based on Feature Reduction and Quasi-Monte Carlo
Table 4
The comparison of all algorithms in terms of SC and CH on unlabeled data sets.
| Algorithm | Flame | Aggregation | S2 | KDD | SC | CH | SC | CH | SC | CH | SC | CH |
| QMC-DPC (PCA) | 0.379 | 153.672 | 0.461 | 1032.876 | 0.452 | 15 011.749 | 0.941 5 | 37 569.031 7 | QMC-DPC (AE) | 0.303 | 129.028 | 0.493 | 1202.934 | 0.710 | 19 744.353 | 0.944 9 | 45 484.132 6 | QMC-DPC (t-SNE) | 0.409 | 190.938 | 0.493 | 1202.934 | 0.704 | 19 149.117 | — | — | DPC-KNN-PCA | 0.403 | 178.217 | 0.281 | 329.073 | 0.710 | 19 744.353 | — | — | DLORE-DP | 0.323 | 108.244 | 0.463 | 883.713 | 0.611 | 17 689.904 | — | — | SNN-DPC | 0.132 | 37.009 | 0.363 | 851.953 | 0.002 | 1124.993 | — | — | DPC | 0.347 | 133.615 | 0.493 | 1202.934 | 0.710 | 19 744.353 | — | — | DBSCAN | 0.295 | 6.894 | 0.318 | 606.285 | 0.529 | 3178.635 | 0.229 | 18 701.700 | AP | 0.334 | 247.017 | 0.421 | 660.422 | 0.496 | 17 747.519 | — | — | K-means | 0.245 | 80.406 | 0.425 | 967.394 | 0.539 | 7293.533 | 0.694 | 13 042.686 |
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The bold values mean the best results.
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