On a solution for the high-dimensionality-small-sample-size regression problem with several different microarrays.
Vladimir NikulinPublished in: Int. J. Data Min. Bioinform. (2014)
Keyphrases
- high dimensionality
- small sample size
- high dimensional
- microarray
- dimensionality reduction
- high dimensional data
- feature space
- microarray data
- feature selection
- sample space
- gene expression data
- gene expression
- dimension reduction
- data sets
- data dimensionality
- feature selection and classification
- high dimensional spaces
- small number of samples
- low dimensional
- sample size
- optimal solution
- face recognition
- linear discriminant analysis
- knn
- class imbalance
- subspace clustering
- data points
- microarray datasets
- data analysis
- pattern recognition
- data mining