Table 2 Test results for high dimensional synthetic data sets.
From: MULTI-K: accurate classification of microarray subtypes using ensemble k-means clustering
Data set | H2 | H3 | |
|---|---|---|---|
MULTI-K (Cut & Entropy) | 0.9210 (9/10) | 0.8695 (7/10) | |
GCCk | 0.5367 (5/10) | 0.7456 (8/10) | |
GCCc | 0.0993 (0/10) | 0.7799 (10/10) | |
Hier. | gap | 0 (1/10) | 0.2277 (1/10) |
| Â | Silhuette | 0.0839 (9/10) | 0.3444 (4/10) |
k -means | gap | 0.7138 (5/10) | 0.8433 (7/10) |
| Â | Silhuette | 0.8445 (9/10) | 0.3715 (1/10) |