Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection.
Cui-Na JiaoTianru WuJin-Xing LiuXiang-Zhen KongPublished in: IDMB (2019)
Keyphrases
- factorization method
- tensor factorization
- feature selection
- singular value decomposition
- matrix factorization
- structure from motion
- multibody
- hyper graph
- measurement matrix
- clustering algorithm
- high dimensionality
- unsupervised learning
- clustering method
- feature extraction
- text categorization
- machine learning
- k means
- negative matrix factorization
- cluster analysis
- dimensionality reduction
- data clustering
- high dimensional data
- random walk
- model selection
- covariance matrix
- markov chain
- dimension reduction
- feature space
- video sequences
- data mining
- image sequences