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Unsupervised feature selection via latent representation learning and manifold regularization.

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第一作者： Chang,Tang

第一单位： School of Computer Science, China University of Geosciences, Wuhan 430074, China. Electronic address: tangchang@cug.edu.cn.

作者： Chang,Tang ^[1] ; Meiru,Bian ^[2] ; Xinwang,Liu ^[3] ; Miaomiao,Li ^[4] ; Hua,Zhou ^[5] ; Pichao,Wang ^[6] ; Hailin,Yin ^[7]

作者单位： School of Computer Science, China University of Geosciences, Wuhan 430074, China. Electronic address: tangchang@cug.edu.cn. ^[1] Department of Hematology, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an 223002, China. Electronic address: meirubian@outlook.com. ^[2] School of Computer Science, National University of Defense Technology, Changsha 410073, China. Electronic address: xinwangliu@nudt.edu.cn. ^[3] School of Computer Science, National University of Defense Technology, Changsha 410073, China. Electronic address: miaomiaolinudt@gmail.com. ^[4] Department of Hematology, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an 223002, China. Electronic address: medicalonc@outlook.com. ^[5] Alibaba Group (U.S.) Inc. Bellevue, WA, 98004, USA. Electronic address: pw212@uowmail.edu.au. ^[6] Department of Oncology, People's Hospital of Lian'shui County, Huai'an 223300, China. Electronic address: hlin111@outlook.com. ^[7]

关键词 Latent representation learning Local structure preservation Manifold regularization Non-negative matrix factorization Unsupervised feature selection

医学主题词数据挖掘(Data Mining)

DOI 10.1016/j.neunet.2019.04.015

PMID 31170576

发布时间 2019-11-08

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