Robust Multiple Kernel k-means Clustering using Min-Max Optimization

This study shows that adversarial features added to a view can make the existing approaches with the min-max formulation in multiplekernel clustering yield unfavorable clusters, and proposes a multiple kernel clustering method with themin-max framework that aims to be robust to such adversarial perturbation.