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Dimensionality Reduction in Big Data with Nonnegative Matrix Factorization.

机译：非负矩阵分解的大数据降维。

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作者
Ho, T.;
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年度 2017
页码 1-38
总页数 38
原文格式 PDF
正文语种 eng
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关键词
Nonnegative matrix factorization;

机译：非负矩阵分解;

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专利

1. Combined new nonnegative matrix factorization algorithms with two-dimensional nonnegative matrix factorization for image processing [J] . Hu Liying, Guo Gongde, Ma Changfeng Multimedia Tools and Applications . 2016,第18期

机译：结合新的非负矩阵分解算法和二维非负矩阵分解算法进行图像处理
2. Progressive transduction nonnegative matrix factorization for dimensionality reduction [J] . Peng Xinjun, Xu Dong, Chen De Neurocomputing . 2020,第Nova13期

机译：维度减少的逐步转导非负矩阵分解
3. Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral–Spatial Dimensionality Reduction of Hyperspectral Imagery [J] . Jinhuan Wen, James E. Fowler, Mingyi He, IEEE Transactions on Geoscience and Remote Sensing . 2016,第7期

机译：结合多种特征的正交非负矩阵分解实现高光谱图像的光谱空间降维
4. The estimation of dimensionality in gene expression data using Nonnegative Matrix Factorization [C] . Kelton Conor J., Lee Waishing, Rusay Matthew, IEEE International Conference on Bioinformatics and Biomedicine . 2015

机译：使用非负矩阵分解法估算基因表达数据中的维数
5. Data clustering and visualization through matrix factorization. [D] . Chen, Yanhua. 2010

机译：通过矩阵分解进行数据聚类和可视化。
6. Dimensionality reduction for single cell RNA sequencing data using constrained robust non-negative matrix factorization [O] . Shuqin Zhang, Liu Yang, Jinwen Yang, 2020

机译：使用受约束鲁棒非负矩阵分解的单细胞RNA测序数据的维度降低
7. Impact of the Choice of Normalization Method on Molecular Cancer Class Discovery Using Nonnegative Matrix Factorization. [O] . Haixuan Yang, Cathal Seoighe 2016

机译：标准化方法选择对非负矩阵分解的分子癌类发现的影响。

Dimensionality Reduction in Big Data with Nonnegative Matrix Factorization.

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