Local and Global Preserving Semisupervised Dimensionality Reduction Based on Random Subspace for Cancer Classification.
Xian-Fa CaiJia WeiGuihua WenZhiwen YuPublished in: IEEE J. Biomed. Health Informatics (2014)
Keyphrases
- cancer classification
- dimensionality reduction
- random forest
- gene selection
- microarray
- gene expression data
- semi supervised
- feature selection
- high dimensional data
- high dimensionality
- microarray data
- gene expression profiles
- low dimensional
- feature extraction
- random forests
- pattern recognition
- ensemble methods
- principal component analysis
- high dimensional
- gene expression
- ensemble learning
- data mining
- classifier fusion
- fold cross validation
- lower dimensional
- linear discriminant analysis
- nearest neighbor
- pairwise