Compressive Regularized Discriminant Analysis of High-Dimensional Data with Applications to Microarray Studies.
Muhammad Naveed TabassumEsa OllilaPublished in: ICASSP (2018)
Keyphrases
- discriminant analysis
- high dimensional data
- microarray
- linear discriminant analysis
- microarray analysis
- gene expression data
- high dimensionality
- dimensionality reduction
- gene expression
- nearest neighbor
- microarray data
- data sets
- low dimensional
- dimension reduction
- gene selection
- high dimensional
- microarray expression data
- subspace clustering
- similarity search
- small sample size
- principal component analysis
- original data
- data analysis
- gene ontology
- feature extraction
- data points
- face recognition
- lower dimensional
- input space
- sparse representation
- random projections
- input data
- dimensionality reduction methods
- missing values
- cancer classification
- low rank
- subspace learning
- manifold learning
- microarray datasets
- gene expression profiles
- variable selection
- cancer diagnosis
- neural network
- scatter matrices
- k nearest neighbor
- feature space
- image data