**4.6 Missing modalities during testing**

In the following, we evaluate the performance of DRoGSuRe and DMSC in case of missing data modalities during testing. It is not uncommon to have one or more sensors that might be silent during testing, thus justifying this experiment for further assessment. We try different combinations of available modalities during testing, and we average the clustering accuracy for each trial. Results are depicted in **Figures 7** and **8** for ARL and EYB data respectively. Again, we notice a significant improvement for DRoGSuRe over DMSC for ARL Dataset. For EYB dataset, there is a slight improvement for DRoGSuRe over DMSC. The reason behind the slight improvement is because our approach introduces less error to the overall affinity matrix as compared

**Figure 7.** *Missing modalities during testing for ARL dataset.*

**Figure 8.** *Missing modalities during testing for EYB dataset.*

to DMSC. Hence, preserving the performance and yielding a graceful degradation of the accuracy although DMSC was the state of the art for the EYB dataset.
