Table 4 Adjusted Rand index (highest values are highlighted as bold faces)
From: 2D–EM clustering approach for high-dimensional data through folding feature vectors
Method | SRBCT | ALL | MLL | ALL subtype | GCM | Lung cancer |
|---|---|---|---|---|---|---|
Kmeans | 0.13 | 0.03 | 0.47 | 0.15 | 0.19 | 0.22 |
CLink | 0.00 | −0.03 | 0.13 | 0.00 | 0.09 | −0.02 |
ALInk | 0.00 | 0.05 | 0.00 | −0.01 | 0.01 | −0.01 |
Wa-Link | 0.00 | 0.09 | 0.51 | 0.00 | 0.17 | 0.41 |
Wt-Link | 0.00 | −0.03 | 0.08 | 0.00 | 0.07 | −0.01 |
Mlink | 0.00 | 0.02 | 0.00 | −0.01 | 0.08 | −0.01 |
Spectral Clustering | −0.02 | 0.02 | 0.02 | 0.00 | 0.07 | −0.01 |
NNMF Clustering | 0.18 | 0.00 | 0.42 | 0.11 | 0.17 | 0.26 |
Mclust | −0.02 | −0.01 | 0.21 | −0.01 | 0.09 | 0.05 |
2D–EM | 0.19 | 0.23 | 0.57 | 0.26 | 0.22 | 0.62 |