Kernel PCA Regression for Missing Data Estimation in DNA Microarray Analysis.
Ying ShanGuang DengPublished in: ISCAS (2009)
Keyphrases
- missing data
- kernel pca
- microarray analysis
- low rank
- missing values
- principal component analysis
- kernel matrix
- kernel methods
- spectral clustering
- feature space
- incomplete data
- matrix factorization
- dimensionality reduction
- support vector
- microarray
- input space
- kernel function
- dimension reduction
- data sets
- active learning
- training data
- learning algorithm