Reviewers remark our method is intuitive and correct, and opens new directions in sparse clustering, while R1 raised

We thank you for commenting the paper is well-written and for finding a typo. Y ou suggest better baselines for comparison, citing Power k-means [37] and matrix + tensor factorization. See for instance " k-means Clustering Is Matrix Factorization" (Bauckhage 2015). We thank you for your detailed comments and careful reading of the paper. Y ou are absolutely correct that "interpretable sparsity" is overloaded here.