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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