Figure 5From: Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression dataNoise evaluation. Randomization accuracies (left) and cluster-indices (right) for the Wang et al. breast cancer dataset combined with normally distributed noise with zero mean and different variances. PCA and DM react most stable on noise. All other methods lead to varying accuracies and cluster scores.Back to article page