K-means Clustering
| id |
S01 |
S02 |
S03 |
S04 |
S05 |
S06 |
S07 |
S08 |
S09 |
S10 |
S11 |
S12 |
S13 |
S14 |
S15 |
S16 |
S17 |
S18 |
S19 |
S20 |
S21 |
S22 |
S23 |
S24 |
S25 |
S26 |
S27 |
S28 |
S29 |
S30 |
S31 |
S32 |
S33 |
S34 |
S35 |
S36 |
S37 |
S38 |
S39 |
S40 |
S41 |
S42 |
S43 |
S44 |
S45 |
S46 |
S47 |
S48 |
S49 |
S50 |
S51 |
S52 |
|
|
|
| ENSG00000000419 |
6.038 |
5.219 |
5.115 |
5.326 |
5.186 |
5.287 |
5.268 |
6.624 |
5.571 |
6.597 |
5.211 |
6.652 |
6.611 |
6.395 |
5.151 |
6.138 |
7.278 |
4.737 |
6.125 |
5.63 |
5.777 |
6.18 |
4.644 |
6.481 |
5.724 |
5.459 |
4.74 |
7.281 |
5.198 |
5.609 |
4.776 |
5.615 |
6.047 |
4.743 |
6.229 |
5.152 |
5.778 |
4.583 |
5.963 |
6.168 |
4.925 |
4.074 |
5.797 |
6.381 |
4.624 |
5.986 |
6.375 |
7.702 |
5.679 |
5.832 |
5.308 |
5.036 |
|
|
|
| ENSG00000001036 |
4.408 |
5.363 |
5.249 |
5.796 |
5.731 |
6.092 |
4.759 |
4.412 |
4.953 |
6.929 |
4.959 |
5.074 |
5.39 |
4.528 |
4.696 |
6.009 |
5.443 |
4.256 |
6.142 |
5.864 |
5.341 |
5.992 |
4.676 |
5.139 |
6.946 |
5.942 |
6.075 |
6.336 |
4.982 |
5.277 |
6.352 |
5.205 |
6.271 |
5.783 |
4.085 |
6.551 |
5.889 |
5.155 |
3.923 |
5.453 |
4.065 |
5.878 |
5.485 |
5.107 |
6.206 |
5.034 |
5.27 |
5.734 |
5.365 |
4.205 |
4.986 |
5.652 |
|
|
|
| ENSG00000001084 |
4.417 |
5.983 |
5.749 |
5.736 |
5.738 |
5.758 |
3.925 |
5.101 |
5.073 |
3.528 |
5.907 |
4.03 |
3.577 |
3.093 |
4.969 |
5.789 |
4.443 |
5.138 |
5.585 |
6.172 |
4.977 |
6.776 |
5.952 |
4.72 |
4.586 |
5.829 |
3.988 |
4.735 |
4.201 |
6.793 |
6.236 |
4.439 |
5.045 |
5.176 |
4.172 |
4.044 |
5.978 |
4.084 |
3.042 |
4.221 |
3.871 |
5.231 |
6.616 |
4.314 |
6.365 |
4.468 |
4.084 |
3.095 |
4.29 |
2.249 |
5.871 |
4.303 |
|
|
|
| ENSG00000001497 |
5.242 |
4.2 |
6.563 |
5.509 |
5.539 |
4.889 |
6.14 |
5.325 |
5.067 |
6.147 |
5.469 |
6.077 |
6.871 |
5.967 |
6.682 |
4.986 |
5.3 |
6.449 |
4.947 |
5.46 |
5.438 |
5.933 |
3.964 |
4.578 |
6.386 |
4.93 |
4.866 |
6.102 |
4.718 |
5.275 |
4.747 |
5.592 |
5.071 |
5.305 |
4.131 |
5.444 |
3.832 |
5.106 |
5.93 |
4.696 |
4.91 |
5.225 |
4.644 |
6.144 |
5.069 |
4.746 |
4.907 |
5.808 |
4.85 |
5.3 |
4.157 |
6.014 |
|
|
|
| ENSG00000001617 |
6.028 |
7.304 |
3.906 |
5.913 |
5.957 |
3.985 |
7.524 |
4.648 |
6.675 |
3.168 |
5.361 |
6.536 |
6.393 |
5.222 |
1.325 |
3.853 |
4.694 |
4.617 |
2.5 |
3.199 |
5 |
5.301 |
5.471 |
5.007 |
1.436 |
5.811 |
2.974 |
3.771 |
7.3 |
5.09 |
5.116 |
5.192 |
5.487 |
6.753 |
5.083 |
0.373 |
5.46 |
7.737 |
0.795 |
6.797 |
1.26 |
4.758 |
3.704 |
5.568 |
5.234 |
4.296 |
5.062 |
6.554 |
6.172 |
6.783 |
4.914 |
5.93 |
|
|
|
| … |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
|
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
… |
Code
R Code to run K-means
Output
| Object |
ClusterID |
| S01 |
1 |
| S02 |
1 |
| S03 |
1 |
| S04 |
1 |
| S05 |
1 |
| S06 |
3 |
| S07 |
2 |
| S08 |
3 |
| S09 |
3 |
| S10 |
4 |
| S11 |
3 |
| S12 |
2 |
| S13 |
2 |
| S14 |
2 |
| S15 |
1 |
| S16 |
4 |
| S17 |
3 |
| S18 |
3 |
| S19 |
1 |
| S20 |
1 |
| S21 |
1 |
| S22 |
1 |
| S23 |
3 |
| S24 |
1 |
| S25 |
4 |
| S26 |
1 |
| S27 |
4 |
| S28 |
1 |
| S29 |
2 |
| S30 |
1 |
| S31 |
1 |
| S32 |
1 |
| S33 |
3 |
| S34 |
3 |
| S35 |
3 |
| S36 |
4 |
| S37 |
3 |
| S38 |
2 |
| S39 |
1 |
| S40 |
2 |
| S41 |
4 |
| S42 |
1 |
| S43 |
2 |
| S44 |
1 |
| S45 |
2 |
| S46 |
2 |
| S47 |
2 |
| S48 |
2 |
| S49 |
2 |
| S50 |
2 |
| S51 |
3 |
| S52 |
3 |