Table 5.
Summary of classification of KYO subjects for view 4 with KYO-whitening and UTO-whitening.
| KYO-whitening | UTO-whitening | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Cluster | KYO-A | KYO-B | KYO-A | KYO-B | ||||||
| ID | HC | MDD | SCZ | HC | SCZ | HC | MDD | SCZ | HC | SCZ |
| 1 | 57 | 6 | 12 | 22 | 16 | 35 | 5 | 14 | 28 | 25 |
| 2 | 46 | 2 | 6 | 21 | 5 | 80 | 6 | 8 | 20 | 4 |
| 3 | 31 | 6 | 18 | 17 | 14 | 13 | 1 | 6 | 7 | 5 |
| 4 | 21 | 2 | 5 | 9 | 4 | 22 | 3 | 9 | 8 | 4 |
| 5 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 0 |
| 6 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
| 11 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
| 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| New | 2 | 0 | 2 | 2 | 5 | 7 | 0 | 6 | 8 | 6 |
| Sum | 159 | 16 | 44 | 75 | 44 | 159 | 16 | 44 | 75 | 44 |
The classification is obtained by fitting the ROI-based multiple-clustering method to each KYO subject using the estimated parameters yielded from the UTO data. Note that the ROI-based multiple-clustering method determines the number of clusters in a data-driven manner. Owing to this nature of the method, a subject can be allocated to a new cluster that consists of itself. In such a case, the subject is considered to be allocated to a “new” cluster.