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

Neural Information Processing Systems

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.

  Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Clustering (0.35)

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