Multiconstrained gene clustering based on generalized projections

BMC Bioinformatics

Table 4 Five-fold cross-validation of the NMI values on KEGG clusters

Datasets	POCS	k-medoids[10]	ICM[12]	FCM[13]
(a) K = 10
alpha	0.287 ± 0.008	0.234 ± 0.007	0.251 ± 0.005	0.265 ± 0.005
cdc15	0.282 ± 0.003	0.222 ± 0.009	0.259 ± 0.002	0.268 ± 0.009
cdc28	0.267 ± 0.009	0.226 ± 0.005	0.209 ± 0.003	0.236 ± 0.003
elu	0.263 ± 0.006	0.219 ± 0.004	0.215 ± 0.001	0.240 ± 0.006
Hughes	0.289 ± 0.006	0.238 ± 0.007	0.254 ± 0.007	0.271 ± 0.005
(b) K = 15
alpha	0.310 ± 0.009	0.255 ± 0.010	0.260 ± 0.010	0.283 ± 0.007
cdc15	0.305 ± 0.004	0.266 ± 0.004	0.278 ± 0.012	0.281 ± 0.001
cdc28	0.301 ± 0.001	0.266 ± 0.009	0.263 ± 0.008	0.279 ± 0.001
elu	0.292 ± 0.007	0.234 ± 0.002	0.244 ± 0.006	0.264 ± 0.009
Hughes	0.322 ± 0.003	0.286 ± 0.001	0.285 ± 0.007	0.303 ± 0.008
(c) K = 20
alpha	0.382 ± 0.005	0.331 ± 0.001	0.335 ± 0.007	0.361 ± 0.004
cdc15	0.384 ± 0.002	0.339 ± 0.004	0.341 ± 0.003	0.367 ± 0.004
cdc28	0.361 ± 0.003	0.322 ± 0.001	0.336 ± 0.009	0.350 ± 0.007
elu	0.354 ± 0.007	0.311 ± 0.002	0.325 ± 0.003	0.342 ± 0.003
Hughes	0.396 ± 0.009	0.326 ± 0.003	0.356 ± 0.005	0.376 ± 0.009
(d) K = 25
alpha	0.348 ± 0.008	0.307 ± 0.008	0.321 ± 0.008	0.339 ± 0.007
cdc15	0.353 ± 0.005	0.312 ± 0.002	0.309 ± 0.009	0.330 ± 0.009
cdc28	0.351 ± 0.003	0.316 ± 0.009	0.302 ± 0.009	0.336 ± 0.006
elu	0.338 ± 0.007	0.290 ± 0.007	0.308 ± 0.002	0.325 ± 0.005
Hughes	0.358 ± 0.007	0.320 ± 0.004	0.323 ± 0.005	0.343 ± 0.004

ISSN: 1471-2105