Table 3 Percentage accuracy of 10-fold cross validation of clustering methods for all genes
From: A comparative study of different machine learning methods on microarray gene expression data
Dataset | K-means | Expectation Maximization | Farthest First | Density Based Clustering |
|---|---|---|---|---|
1. Lymphoma (Devos et.al, 2002) | 64.0 | 52.0 | 64.0 | 64.0 |
2. Breast Cancer (Perou et. al, 2000) | 67.9 | 71.4 | 85.7 | 67.9 |
3. Colon Cancer (Alon et. al, 1999) | 53.3 | 71.1 | 68.9 | 53.3 |
4. Lung Cancer (Garber et. al, 2001) | 79.2 | 37.5 | 75.0 | 80.6 |
5. Adenocarcinoma (Beer et.al, 2002) | 42.0 | 54.7 | 74.4 | 51.2 |
6. Lymphoma (Alizadeh et al, 2000) | 52.1 | 54.2 | 78.1 | 54.2 |
7. Melanoma (Bittner et. al, 2000) | 73.7 | 81.6 | 73.7 | 73.7 |
8. Ovarian Cancer (Welsh et. al, 2001) | 61.5 | 61.5 | 89.7 | 66.7 |