表 3. Performance of hierarchical clustering algorithm.
层次聚类算法的性能
| 受试者/编号 | t/min | J-J/次 | R-R/次 | CR | FP | FN | E | Eabs/ms |
| 1 | 18.55 | 1 239 | 1 410 | 87.87% | 0.07% | 12.13% | 1.45% | 11.84 |
| 2 | 21.67 | 1 320 | 1 563 | 84.45% | 0.19% | 15.55% | 2.59% | 20.95 |
| 3 | 21.40 | 1 519 | 1 650 | 92.06% | 0.00% | 7.94% | 0.97% | 7.57 |
| 4 | 21.11 | 1 617 | 1 667 | 97.00% | 0.00% | 3.00% | 0.17% | 1.31 |
| 5 | 19.69 | 1 340 | 1 483 | 90.36% | 0.13% | 9.64% | 1.13% | 9.09 |
| 6 | 21.13 | 1 375 | 1 589 | 86.53% | 0.13% | 13.47% | 1.71% | 13.75 |
| 7 | 17.10 | 1 253 | 1 344 | 93.23% | 0.00% | 6.77% | 0.81% | 6.34 |
| 8 | 20.75 | 1 300 | 1 587 | 81.92% | 0.19% | 18.08% | 2.86% | 22.86 |
| 9 | 19.57 | 1 407 | 1 533 | 91.78% | 0.13% | 8.22% | 0.82% | 6.38 |
| 10 | 20.62 | 1 510 | 1 613 | 93.61% | 0.00% | 6.39% | 0.70% | 5.54 |
| 11 | 20.89 | 1 374 | 1 499 | 91.66% | 0.27% | 8.34% | 1.19% | 9.71 |
| 12 | 20.38 | 1 350 | 1 491 | 90.54% | 0.13% | 9.46% | 1.29% | 10.62 |
| 13 | 20.70 | 1 224 | 1 511 | 81.01% | 0.13% | 18.99% | 3.66% | 29.68 |
| 平均值 | 20.27 | 1 371 | 1 533 | 89.39% | 0.11% | 10.61% | 1.49% | 11.97 |