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Table 6 Five-fold cross-validation of the NMI values on SGD clusters

From: Multiconstrained gene clustering based on generalized projections

Datasets POCS k-medoids[10] ICM[12] FCM[13]
(a) K = 10     
alpha 0.438 ± 0.008 0.383 ± 0.002 0.404 ± 0.002 0.408 ± 0.003
cdc15 0.462 ± 0.001 0.389 ± 0.004 0.422 ± 0.003 0.429 ± 0.004
cdc28 0.428 ± 0.005 0.387 ± 0.001 0.400 ± 0.002 0.411 ± 0.004
elu 0.432 ± 0.006 0.410 ± 0.004 0.411 ± 0.003 0.412 ± 0.004
Hughes 0.467 ± 0.004 0.414 ± 0.009 0.434 ± 0.003 0.439 ± 0.003
(b) K = 15     
alpha 0.533 ± 0.003 0.471 ± 0.006 0.507 ± 0.004 0.517 ± 0.004
cdc15 0.572 ± 0.002 0.507 ± 0.005 0.528 ± 0.005 0.540 ± 0.003
cdc28 0.552 ± 0.001 0.488 ± 0.004 0.524 ± 0.005 0.543 ± 0.003
elu 0.536 ± 0.008 0.466 ± 0.004 0.514 ± 0.003 0.525 ± 0.003
Hughes 0.566 ± 0.001 0.513 ± 0.007 0.549 ± 0.003 0.546 ± 0.005
(c) K = 20     
alpha 0.607 ± 0.003 0.551 ± 0.003 0.579 ± 0.004 0.583 ± 0.004
cdc15 0.613 ± 0.001 0.543 ± 0.005 0.580 ± 0.003 0.587 ± 0.004
cdc28 0.598 ± 0.002 0.551 ± 0.003 0.587 ± 0.004 0.586 ± 0.005
elu 0.593 ± 0.001 0.539 ± 0.006 0.567 ± 0.004 0.564 ± 0.003
Hughes 0.638 ± 0.004 0.576 ± 0.003 0.586 ± 0.005 0.591 ± 0.003
(d) K = 25     
alpha 0.649 ± 0.002 0.586 ± 0.004 0.636 ± 0.004 0.634 ± 0.006
cdc15 0.648 ± 0.006 0.594 ± 0.005 0.621 ± 0.004 0.620 ± 0.005
cdc28 0.661 ± 0.003 0.607 ± 0.005 0.630 ± 0.005 0.637 ± 0.006
elu 0.637 ± 0.004 0.607 ± 0.008 0.619 ± 0.006 0.621 ± 0.005
Hughes 0.667 ± 0.003 0.617 ± 0.009 0.637 ± 0.004 0.646 ± 0.005