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CRAFT: ClusteR-specific Assorted Feature selecTion.

, , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 305-313. JMLR.org, (2016)

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Highly scalable parallel collaborative filtering algorithm., , , and . HiPC, page 1-10. IEEE Computer Society, (2010)Generative Models for Graph-Based Protein Design., , , and . NeurIPS, page 15794-15805. (2019)Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms., and . NeurIPS, page 5681-5691. (2019)Meta-Unsupervised-Learning: A supervised approach to unsupervised learning., and . CoRR, (2016)High throughput data redundancy removal algorithm with scalable performance., , and . HiPEAC, page 87-96. ACM, (2011)Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition., and . Int. J. Data Min. Model. Manag., 1 (4): 411-436 (2009)Multi-regularization for Fuzzy Co-clustering., , and . ICONIP (2), volume 8227 of Lecture Notes in Computer Science, page 67-75. Springer, (2013)EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics., and . SEAL, volume 6457 of Lecture Notes in Computer Science, page 677-686. Springer, (2010)Modular Flows: Differential Molecular Generation., , , and . NeurIPS, (2022)Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory., , and . IEEE Trans. Knowl. Data Eng., 25 (5): 1070-1082 (2013)