Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis.
Chuan-Yuan WangYing-Lian GaoCui-Na JiaoJin-Xing LiuChunhou ZhengXiang-Zhen KongPublished in: BIBM (2020)
Keyphrases
- negative matrix factorization
- data analysis
- matrix factorization
- sparse representation
- principal component analysis
- nonnegative matrix factorization
- manifold learning
- document clustering
- constrained least squares
- spectral clustering
- low dimensional
- tensor factorization
- probabilistic latent semantic analysis
- high dimensional data
- k means
- cluster analysis
- data mining
- knowledge discovery
- feature space
- machine learning
- nearest neighbor
- digital libraries
- pattern recognition
- feature extraction
- feature selection
- clustering method
- text mining
- semi supervised