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Non-negative Matrix Factorization as a Feature Selection Tool for Maximum Margin Classifiers

机译：非负矩阵分解作为最大余量分类器的特征选择工具

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Mithun Das Gupta; Jing Xiao;
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年度 2013
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1. Double feature selection algorithm based on low-rank sparse non-negative matrix factorization [J] . Shang Ronghua, Song Jiuzheng, Jiao Licheng, International journal of machine learning and cybernetics . 2020,第8期

机译：基于低级稀疏非负矩阵分解的双特征选择算法
2. Efficacy of Non-negative Matrix Factorization for Feature Selection in Cancer Data [J] . Parth Patel, Kalpdrum Passi, Chakresh Kumar Jain International Journal of Data Mining & Knowledge Management Process . 2020,第4期

机译：非负矩阵分解在癌症数据中特征选择的疗效
3. Feature selection based dual-graph sparse non-negative matrix factorization for local discriminative clustering [J] . Meng Yang, Shang Ronghua, Jiao Licheng, Neurocomputing . 2018,第may17期

机译：基于特征选择的双图稀疏非负矩阵分解用于局部判别聚类
4. Non-negative matrix factorization as a feature selection tool for maximum margin classifiers [C] . Das Gupta Mithun, Xiao Jing 2011 IEEE Conference on Computer Vision and Pattern Recognition . 2011

机译：非负矩阵分解作为最大余量分类器的特征选择工具
5. Group Convex Orthogonal Non-negative Matrix Tri-Factorization with Applications in FC Fingerprinting [D] . ?Li, Kendrick 2020

机译：集团凸正交非负矩阵三分解与 FC 指纹应用
6. Robust hypergraph regularized non-negative matrix factorization for sample clustering and feature selection in multi-view gene expression data [O] . Na Yu, Ying-Lian Gao, Jin-Xing Liu, 2019

机译：用于多视图基因表达数据的样本聚类和特征选择的鲁棒超图正则化非负矩阵分解
7. Rank Selection for Non-negative Matrix Factorization with Normalized Maximum Likelihood Coding [O] . Yu Ito, Shin-ichi Oeda, Kenji Yamanishi 2016

机译：具有归一化最大似然编码的非负矩阵分解的排名选择

Non-negative Matrix Factorization as a Feature Selection Tool for Maximum Margin Classifiers

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