School of Mathematics, Northwest University, Xi'an 710127, China,Department of Computing Science, University of Alberta, Edmonton, AB T6G 2E8, Canada,School of Mathematics and Information Sciences, Nanchang Hangkong University, Nanchang 330063, China;
School of Mathematics, Northwest University, Xi'an 710127, China,Faculty of Information Technology, State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macau, People's Republic of China;
College of Computer Engineering, Jimei University, Xiamen 361021, China;
Graph regularization; Smooth Non-negative Matrix Factorization (SNMF); Data clustering;
机译:非平滑非负矩阵分解的基因表达数据双板
机译:基于非负矩阵分解的多个动态数据流的共同集群
机译:勘误如下:“ NMFP:一种基于非负矩阵分解的预选择方法,可以提高从RNA序列数据中鉴定mRNA亚型的准确性”
机译:一种基于平滑非负矩阵分解的新型数据聚类方法
机译:使用非负矩阵分解模型探索数据聚类。
机译:通过非平滑非负矩阵分解对基因表达数据进行分类
机译:通过非平滑非负矩阵分解对基因表达数据进行分类