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Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis.

, , and . J. Mach. Learn. Res., (2016)

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Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis., , and . J. Mach. Learn. Res., (2016)Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition., and . ICONIP (3), volume 11303 of Lecture Notes in Computer Science, page 90-100. Springer, (2018)Projective Nonnegative Matrix Factorization with α-Divergence., and . ICANN (1), volume 5768 of Lecture Notes in Computer Science, page 20-29. Springer, (2009)A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification., , , , , , , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (6): 1052-1056 (2020)Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions., , , and . KES, volume 176 of Procedia Computer Science, page 1659-1668. Elsevier, (2020)ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length., , , and . ICLR, OpenReview.net, (2023)基于多代价的决策粗糙集属性约简 (Attribute Reduction Based on Multicost Decision-theoretic Rough Set)., , and . 计算机科学, 44 (9): 67-69 (2017)Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching., , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 419-426. Springer, (2012)Stochastic cluster embedding., , , , and . Stat. Comput., 33 (1): 12 (2023)NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian., , , , , , , and . CoRR, (2023)