Nonnegative Principal Component Analysis for Proteomic Tumor Profiles.
Xiaoxu HanPublished in: SDM (2010)
Keyphrases
- principal component analysis
- nonnegative matrix factorization
- principal components
- dimensionality reduction
- covariance matrix
- breast cancer
- independent component analysis
- dimension reduction
- feature space
- linear discriminant analysis
- negative matrix factorization
- discriminant analysis
- brain tumors
- face images
- tumor segmentation
- objective function
- face recognition
- high throughput
- singular value decomposition
- low dimensional
- growth model
- feature extraction
- graph embedding
- lower dimensional
- user profiles
- treatment planning
- linear programming
- normal tissue
- brain tumor segmentation
- logistic regression
- neural classifier
- least squares
- proteomic data