Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data.
Na YuMing-Juan WuJin-Xing LiuChun-Hou ZhengYong XuPublished in: IEEE Trans. Cybern. (2021)
Keyphrases
- feature selection
- data points
- data sets
- clustering algorithm
- data analysis
- clustering analysis
- least squares
- irrelevant features
- missing data
- clustering method
- dimensionality reduction
- knowledge discovery
- training data
- unsupervised learning
- data sources
- high dimensional data
- pairwise
- document clustering
- spectral clustering
- negative matrix factorization
- machine learning