From: 2D–EM clustering approach for high-dimensional data through folding feature vectors
Method | SRBCT | ALL | MLL | ALL subtype | GCM | Lung cancer |
---|---|---|---|---|---|---|
K-means | 0.58 | 0.53 | 0.78 | 0.64 | 0.84 | 0.72 |
CLink | 0.30 | 0.49 | 0.54 | 0.52 | 0.71 | 0.70 |
ALInk | 0.30 | 0.56 | 0.35 | 0.51 | 0.38 | 0.71 |
Ward-Link | 0.44 | 0.56 | 0.78 | 0.53 | 0.84 | 0.80 |
Weighted-Link | 0.30 | 0.52 | 0.51 | 0.52 | 0.61 | 0.71 |
Mlink | 0.30 | 0.55 | 0.35 | 0.48 | 0.54 | 0.71 |
Spectral Clustering | 0.39 | 0.51 | 0.56 | 0.63 | 0.55 | 0.71 |
NNMF Clustering | 0.66 | 0.50 | 0.74 | 0.64 | 0.83 | 0.63 |
Mclust | 0.51 | 0.50 | 0.61 | 0.30 | 0.83 | 0.57 |
2D–EM | 0.65 | 0.62 | 0.80 | 0.78 | 0.87 | 0.84 |