Table 1 |
||||||
|
comparison for unsupervised methods: Silhouette coefficients and number of genes for each cluster and unsupervised clustering method (no labels). Laplacian Eigenmaps+k-means leads to higher silhouette coefficients. |
||||||
|
k-means |
PCA+k-means |
LE+k-means |
||||
|
cluster |
sil |
# genes |
sil |
# genes |
sil |
# genes |
|
|
||||||
|
1 |
0.0200 |
65 |
0.7329 |
126 |
0.6535 |
103 |
|
2 |
0.3067 |
146 |
0.6221 |
60 |
0.7049 |
125 |
|
3 |
0.4078 |
180 |
0.7002 |
168 |
0.6862 |
174 |
|
4 |
0.4068 |
234 |
0.6840 |
198 |
0.6848 |
154 |
|
5 |
0.3401 |
255 |
0.7423 |
157 |
0.7831 |
97 |
|
6 |
0.2960 |
252 |
0.7033 |
130 |
0.7949 |
389 |
|
7 |
0.3442 |
90 |
0.6795 |
126 |
0.7369 |
120 |
|
8 |
0.6509 |
9 |
0.6800 |
65 |
0.6953 |
270 |
|
9 |
0.3900 |
254 |
0.6393 |
190 |
0.7800 |
91 |
|
10 |
0.2162 |
34 |
0.7130 |
187 |
0.7046 |
79 |
|
11 |
0.3056 |
112 |
0.6517 |
182 |
0.7606 |
141 |
|
12 |
0.3531 |
165 |
0.7162 |
155 |
0.7487 |
122 |
|
13 |
0.4636 |
182 |
0.6925 |
117 |
0.9889 |
3 |
|
14 |
0.4267 |
167 |
0.7422 |
205 |
0.7118 |
125 |
|
15 |
0.6529 |
114 |
0.6968 |
184 |
0.5997 |
85 |
|
16 |
0.1593 |
86 |
0.5266 |
9 |
0.7214 |
236 |
|
17 |
0.5488 |
13 |
0.6792 |
84 |
0.6839 |
83 |
|
18 |
0.4323 |
253 |
0.6956 |
211 |
0.7380 |
135 |
|
19 |
0.1749 |
20 |
0.7151 |
118 |
0.6466 |
72 |
|
20 |
0.3076 |
133 |
0.6926 |
170 |
0.7243 |
121 |
|
21 |
0.4314 |
174 |
0.7041 |
115 |
0.7461 |
199 |
|
22 |
0.4394 |
130 |
0.7342 |
116 |
0.7442 |
275 |
|
23 |
0.4538 |
210 |
0.7252 |
192 |
0.6849 |
115 |
|
24 |
0.4366 |
138 |
0.6792 |
151 |
0.8534 |
102 |
|
|
||||||
|
Ehler et al. BMC Proceedings 2011 5(Suppl 2):S3 doi:10.1186/1753-6561-5-S2-S3 |
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