Unsupervised Feature Selection for Noisy Data - researchr publication authors

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Kaveh Mahdavi, Jesús Labarta, Judit Giménez. Unsupervised Feature Selection for Noisy Data. In Jianxin Li, Sen Wang, Shaowen Qin, Xue Li, Shuliang Wang, editors, Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Dalian, China, November 21-23, 2019, Proceedings. Volume 11888 of Lecture Notes in Computer Science, pages 79-94, Springer, 2019. [doi]

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