Taxonomy dimension reduction for colorectal cancer prediction.
Kaiyang QuFeng GaoFei GuoQuan ZouPublished in: Comput. Biol. Chem. (2019)
Keyphrases
- dimension reduction
- colorectal cancer
- high dimensional
- low dimensional
- principal component analysis
- feature extraction
- high dimensional problems
- data mining and machine learning
- random projections
- high dimensional data
- manifold learning
- variable selection
- partial least squares
- singular value decomposition
- unsupervised learning
- dimensionality reduction
- manifold embedding
- dimension reduction methods
- discriminative information
- cluster analysis
- high dimensionality
- feature selection
- linear discriminant analysis
- feature space
- preprocessing
- high dimensional data analysis
- database
- feature subspace
- similarity measure
- neural network
- data sets