Figure 3

The performance of typical clustering methods on different error-measurement integrated approaches. 'stddev' represents for the clustering performance on synthetic data using the approach with the SD-weighted correlation coefficient metric; similarly, 'shrinkage' is for the approach with the shrinkage correlation coefficient metric; 'average' is for the clustering performance on average profiles; 'true' is for that on 'true' profiles; and 'smoothing' is for that when using method 'spline' to infer the expression profiles and then clustering. The horizontal axis shows the corresponding number of replicates in the dataset while the vertical axis demonstrates the clustering performance of the corresponding approach (the higher the better). Results are the average of clustering accuracies over 1000 randomly generated synthetic datasets.