Cluster size | Mean | SD | Min | Max |
|---|
Leukemia | 5.855 | 2.910 | 1 | 23 |
Breast cancer | 4.344 | 2.062 | 1 | 13 |
Prostate | 6.327 | 2.373 | 2 | 17 |
Colon | 6.642 | 2.733 | 2 | 20 |
SRBCT | 4.739 | 1.816 | 1 | 14 |
Lymphoma | 5.485 | 2.679 | 1 | 16 |
Brain | 6.094 | 2.751 | 1 | 19 |
NCI | 6.174 | 2.930 | 1 | 20 |
- Variability in size of clusters that have been shaped with the supervised algorithm, based on 1000 bootstrap replicates. Leukemia stands for distinction between AML and ALL; in the breast cancer data, the separation of the ER receptor status has been analyzed; prostate and colon stand for discrimination of normal versus tumorous tissue; in the SRBCT dataset, the Ewing family of tumors was separated against three other phenotypes; for the lymphoma dataset discrimination of DLBCL against FL and CLL was considered; in the brain tumor dataset AT/RTs were discriminated from four further malignancies; and in the NCI dataset, leukemia was separated against seven other cancers. The presented figures for the four multiclass datasets are representative for all their binary distinctions between a tumor type against all others.
