Research Article
A Novel Convex Clustering Method for High-Dimensional Data Using Semiproximal ADMM
Table 5
Results for the real datasets.
| Datasets | Methods | Rand index |
| Brain A | K-means | 0.798 | Hclust | 0.317 | Sclust | 0.506 | CC | 0.577 | SCC | 0.793 | SGLCC | 0.890 |
| Prostate | K-means | 0.505 | Hclust | 0.496 | Sclust | 0.497 | CC | 0.511 | SCC | 0.518 | SGLCC | 0.530 |
| ARB | K-means | 0.539 | Hclust | 0.233 | Sclust | 0.635 | CC | 0.485 | SCC | 0.562 | SGLCC | 0.675 |
| SRBCT | K-means | 0.593 | Hclust | 0.308 | Sclust | 0.525 | CC | 0.595 | SCC | 0.634 | SGLCC | 0.770 |
| Colon | K-means | 0.556 | Hclust | 0.527 | Sclust | 0.511 | CC | 0.492 | SCC | 0.596 | SGLCC | 0.640 |
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