Table 2. Open in new tab Comparison of...

Model	Factors	BIC	AWE	ARI	Error rate
MFA	1	140 710	145 324	0.3100	0.4286
	2	139 479	146 125	0.3219	0.3941
	3	139 313	147 955	0.3156	0.4089
	4	139 016	149 611	0.3013	0.4039
	5	139 068	151 573	0.3368	0.3645
	6	138 870	153 244	0.2445	0.4236
	7	139 358	155 561	0.3487	0.3498
	8	139 747	157 738	0.2616	0.4335
	9	140 207	159 943	0.2571	0.4433
	10	140 414	161 854	0.2368	0.4680
MCFA	1	148 255	149 674	0.0721	NA
	2	144 994	146 585	0.3348	0.2611
	3	142 978	145 042	0.3090	0.3300
	4	141 826	144 453	0.4376	0.2759
	5	140 943	144 139	0.3703	0.3153
	6	140 123	143 943	0.3269	0.3251
	7	139 362	143 800	0.3692	0.3153
	8	138 921	144 015	0.3775	0.3153
	9	138 420	144 194	0.4570	0.2709
	10	138 134	144 633	0.2418	0.4335
MCtFA	1	144 424	145 607	−0.1269	0.4384
	2	142 708	144 294	0.3619	0.2413
	3	141 155	143 236	0.4735	0.2266
	4	139 683	142 334	0.6179	0.1527
	5	138 937	142 154	0.6657	0.1379
	6	138 194	142 025	0.7322	0.1133
	7	137 538	142 009	0.5875	0.1675
	8	136 973	142 105	0.6417	0.1773
	9	136 660	142 474	0.4408	0.2365
	10	136 431	142 967	0.3215	0.3153

Model	Factors	BIC	AWE	ARI	Error rate
MFA	1	140 710	145 324	0.3100	0.4286
	2	139 479	146 125	0.3219	0.3941
	3	139 313	147 955	0.3156	0.4089
	4	139 016	149 611	0.3013	0.4039
	5	139 068	151 573	0.3368	0.3645
	6	138 870	153 244	0.2445	0.4236
	7	139 358	155 561	0.3487	0.3498
	8	139 747	157 738	0.2616	0.4335
	9	140 207	159 943	0.2571	0.4433
	10	140 414	161 854	0.2368	0.4680
MCFA	1	148 255	149 674	0.0721	NA
	2	144 994	146 585	0.3348	0.2611
	3	142 978	145 042	0.3090	0.3300
	4	141 826	144 453	0.4376	0.2759
	5	140 943	144 139	0.3703	0.3153
	6	140 123	143 943	0.3269	0.3251
	7	139 362	143 800	0.3692	0.3153
	8	138 921	144 015	0.3775	0.3153
	9	138 420	144 194	0.4570	0.2709
	10	138 134	144 633	0.2418	0.4335
MCtFA	1	144 424	145 607	−0.1269	0.4384
	2	142 708	144 294	0.3619	0.2413
	3	141 155	143 236	0.4735	0.2266
	4	139 683	142 334	0.6179	0.1527
	5	138 937	142 154	0.6657	0.1379
	6	138 194	142 025	0.7322	0.1133
	7	137 538	142 009	0.5875	0.1675
	8	136 973	142 105	0.6417	0.1773
	9	136 660	142 474	0.4408	0.2365
	10	136 431	142 967	0.3215	0.3153

Table 2.

Comparison of MCLUST, MFA, MCFA and MCtFA models for implied clustering versus the true membership of Bhattacharjee's 203 lung cancer tissues

Model	Factors	BIC	AWE	ARI	Error rate

MCLUST	VVI	135 023		0.3021	0.3350
MFA	1	140 710	145 324	0.3100	0.4286
	2	139 479	146 125	0.3219	0.3941
	3	139 313	147 955	0.3156	0.4089
	4	139 016	149 611	0.3013	0.4039
	5	139 068	151 573	0.3368	0.3645
	6	138 870	153 244	0.2445	0.4236
	7	139 358	155 561	0.3487	0.3498
	8	139 747	157 738	0.2616	0.4335
	9	140 207	159 943	0.2571	0.4433
	10	140 414	161 854	0.2368	0.4680
MCFA	1	148 255	149 674	0.0721	NA
	2	144 994	146 585	0.3348	0.2611
	3	142 978	145 042	0.3090	0.3300
	4	141 826	144 453	0.4376	0.2759
	5	140 943	144 139	0.3703	0.3153
	6	140 123	143 943	0.3269	0.3251
	7	139 362	143 800	0.3692	0.3153
	8	138 921	144 015	0.3775	0.3153
	9	138 420	144 194	0.4570	0.2709
	10	138 134	144 633	0.2418	0.4335
MCtFA	1	144 424	145 607	−0.1269	0.4384
	2	142 708	144 294	0.3619	0.2413
	3	141 155	143 236	0.4735	0.2266
	4	139 683	142 334	0.6179	0.1527
	5	138 937	142 154	0.6657	0.1379
	6	138 194	142 025	0.7322	0.1133
	7	137 538	142 009	0.5875	0.1675
	8	136 973	142 105	0.6417	0.1773
	9	136 660	142 474	0.4408	0.2365
	10	136 431	142 967	0.3215	0.3153

Model	Factors	BIC	AWE	ARI	Error rate

MCLUST	VVI	135 023		0.3021	0.3350
MFA	1	140 710	145 324	0.3100	0.4286
	2	139 479	146 125	0.3219	0.3941
	3	139 313	147 955	0.3156	0.4089
	4	139 016	149 611	0.3013	0.4039
	5	139 068	151 573	0.3368	0.3645
	6	138 870	153 244	0.2445	0.4236
	7	139 358	155 561	0.3487	0.3498
	8	139 747	157 738	0.2616	0.4335
	9	140 207	159 943	0.2571	0.4433
	10	140 414	161 854	0.2368	0.4680
MCFA	1	148 255	149 674	0.0721	NA
	2	144 994	146 585	0.3348	0.2611
	3	142 978	145 042	0.3090	0.3300
	4	141 826	144 453	0.4376	0.2759
	5	140 943	144 139	0.3703	0.3153
	6	140 123	143 943	0.3269	0.3251
	7	139 362	143 800	0.3692	0.3153
	8	138 921	144 015	0.3775	0.3153
	9	138 420	144 194	0.4570	0.2709
	10	138 134	144 633	0.2418	0.4335
MCtFA	1	144 424	145 607	−0.1269	0.4384
	2	142 708	144 294	0.3619	0.2413
	3	141 155	143 236	0.4735	0.2266
	4	139 683	142 334	0.6179	0.1527
	5	138 937	142 154	0.6657	0.1379
	6	138 194	142 025	0.7322	0.1133
	7	137 538	142 009	0.5875	0.1675
	8	136 973	142 105	0.6417	0.1773
	9	136 660	142 474	0.4408	0.2365
	10	136 431	142 967	0.3215	0.3153

The bold numbers are the optimal values of BIC, AWE, ARI and Error rate for each model. NA means Not Available.