Occam's razor in dimension reduction: Using reduced row Echelon form for finding linear independent features in high dimensional microarray datasets.
Mohammad Kazem EbrahimpourMasoumeh ZareMahdi EftekhariGholamreza AghamolaeiPublished in: Eng. Appl. Artif. Intell. (2017)
Keyphrases
- dimension reduction
- high dimensional
- high dimensionality
- feature extraction
- feature space
- high dimensional problems
- microarray datasets
- discriminative information
- microarray data
- high dimensional data
- low dimensional
- dimensionality reduction
- feature selection
- principal component analysis
- microarray
- variable selection
- gene expression data
- manifold learning
- feature ranking
- classification accuracy
- feature vectors
- singular value decomposition
- linear discriminant analysis
- unsupervised learning
- cluster analysis
- database
- feature set
- nearest neighbor
- data sets
- missing data
- kernel function
- image data
- data points
- training data
- real world