Table 5 Median values (and associated standard deviation) for the typical bicluster dimension parameters in both data collections: number of regions in each bicluster, number of time points and bicluster area. When comparing this results to the virtual error values, a apparent relation comes between the bicluster size and the associated virtual error, which make sense
Algorithms | Artificial data | Real data | ||||
|---|---|---|---|---|---|---|
Time points | Region points | Area | Time points | Region points | Area | |
Biclustering | ||||||
Bimax | \(6 \pm 7\) | \(4 \pm 2\) | \(24 \pm 25\) | \(6 \pm 2\) | \(21 \pm 21\) | \(126 \pm 386\) |
BicPAM | \(7 \pm 3\) | \(2 \pm 1\) | \(16 \pm 11\) | \(27 \pm 8\) | \(2 \pm 0\) | \(54 \pm 16\) |
CCC | \(3 \pm 4\) | \(3 \pm 2\) | \(10 \pm 9\) | \(5 \pm 2\) | \(4 \pm 9\) | \(18 \pm 22\) |
FABIA | \(43 \pm 5\) | \(4 \pm 2\) | \(184 \pm 76\) | \(29 \pm 4\) | \(14 \pm 52\) | \(403 \pm 1204\) |
Spectral Biclustering | \(23 \pm 11\) | \(7 \pm 3\) | \(136 \pm 112\) | \(20 \pm 7\) | \(17 \pm 6\) | \(330 \pm 211\) |
ISA | \(14 \pm 9\) | \(3 \pm 1\) | \(44 \pm 46\) | \(7 \pm 5\) | \(30 \pm 28\) | \(152 \pm 276\) |
XMotifs | \(49 \pm 13\) | \(2 \pm 1\) | \(114 \pm 45\) | \(19 \pm 11\) | \(4 \pm 15\) | \(78 \pm 71\) |
Region clustering | ||||||
kmeans | 150 | \(3 \pm 2\) | \(450 \pm 283\) | 94 | \(4 \pm 1\) | \(376 \pm 123\) |
pectral | 150 | \(4 \pm 4\) | \(525 \pm 610\) | 94 | \(3 \pm 117\) | \(282 \pm 11038\) |
ward | 150 | \(6 \pm 5\) | \(900 \pm 700\) | 94 | \(3 \pm 1\) | \(282 \pm 100\) |
Temporal clustering | ||||||
kmeans | \(3 \pm 5\) | 26 | \(78 \pm 119\) | \(3 \pm 0\) | 463 | \(1389 \pm 197\) |
spectral | \(3 \pm 6\) | 26 | \(78 \pm 158\) | \(86 \pm 36\) | 463 | \(39818 \pm 16621\) |
ward | \(3 \pm 9\) | 26 | \(78 \pm 247\) | \(3 \pm 0\) | 463 | \(1389\pm 222\) |