Table 4:
Convex clustering. Times reflect the total time spent generating candidate clusterings using Algorithm 3. Additional metrics correspond to the optimal clustering on the basis of maximal ARI. Time and clustering indices are averaged over 3 replicates with standard deviations reported in parentheses.
| Time (s) | Loss | Distance ×105 | ARI | NMI | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| dataset | features | samples | classes | MM | SD | MM | SD | MM | SD | MM | SD | MM | SD |
| zoo | 16 | 101 | 7 | 95.6 (0.268) |
77.1 (2.02) |
1600 | 1600 | 8.62 | 8.62 | 0.841 (0) |
0.848 (0.0118) |
0.853 (0) |
0.856 (0.00256) |
| iris | 4 | 150 | 3 | 76.4 (0.129) |
62.8 (2) |
596 | 596 | 8.8 | 8.8 |
0.575 (0) |
0.575 (0) |
0.734 (0) |
0.734 (0) |
| gaussian300 | 2 | 300 | 3 | 190 (0.173) |
155 (0.177) |
598 | 598 | 8.98 | 8.98 |
1 (0) |
1 (0) |
1 (0) |
1 (0) |
| spiral500 | 2 | 500 | 2 | 715 (18.5) |
561 (0.501) |
998 | 998 | 8.98 | 8.98 |
0.133 (0) |
0.133 (0) |
0.366 (0) |
0.366 (0) |