Supplementary Figure 2: Robustness analysis of all clustering methods.

Robustness of all clustering methods on five selected data sets reported as mean F1 scores over ten repetitions. For the two biomedical data sets (astral1_161 and bone_marrow) the noise levels are 5% (low) and 10% (high). For the three synthetic data sets, we report the performance on higher noise levels: 20% (low) and 40% (high). See Table 1 for definitions of methods’ abbreviations. Empty fields correspond to an inability of the corresponding tool to cluster the data set. This happens when a tool needs feature vectors for the objects but the data set is given as similarity matrix.