Guaranteed clustering and biclustering via semidefinite programming

Author:

Ames Brendan P. W.

Publisher

Springer Science and Business Media LLC

Subject

General Mathematics,Software

Reference45 articles.

1. Ackerman, M., Ben-David, S.: Clusterability: a theoretical study. In: Proceedings of the AISTATS-09. JMLR: W &CP 5, 1–8 (2009)

2. Aloise, D., Deshpande, A., Hansen, P., Popat, P.: Np-hardness of euclidean sum-of-squares clustering. Mach. Learn. 75(2), 245–248 (2009)

3. Ames, B., Vavasis, S.: Convex optimization for the planted k-disjoint-clique problem. Arxiv, preprint arXiv:1008.2814, 2010

4. Ames, B., Vavasis, S.: Nuclear norm minimization for the planted clique and biclique problems. Math. Program. 129(1), 1–21 (2011)

5. Balakrishnan, S., Xu, M., Krishnamurthy, A., Singh, A.: Noise thresholds for spectral clustering. Adv. Neural Inf. Process. Syst. 25(3), 954–962 (2011)

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