C-KPCA: Custom Kernel PCA for Cancer Classification.
Van-Sang HaHa-Nam NguyenPublished in: MLDM (2016)
Keyphrases
- kernel pca
- cancer classification
- kernel principal component analysis
- gene selection
- microarray
- random forest
- microarray data
- gene expression data
- gene expression profiles
- kernel methods
- principal component analysis
- feature selection
- feature space
- kernel function
- spectral clustering
- dimensionality reduction
- input space
- face recognition
- gene expression
- kernel matrix
- feature extraction
- linear discriminant analysis
- data sets
- feature set
- component analysis
- high dimensional data
- high dimensional
- image segmentation
- high dimensional feature space
- decision trees
- computer vision