Optimal feature selection for sparse linear discriminant analysis and its applications in gene expression data.
Cheng WangLongbing CaoBaiqi MiaoPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- gene expression data
- linear discriminant analysis
- feature selection
- high dimensional data
- high dimensionality
- dimensionality reduction
- small sample size
- high dimensional
- microarray data
- feature space
- discriminant analysis
- class separability
- dimension reduction
- feature extraction
- microarray
- support vector
- gene expression
- face recognition
- principal component analysis
- gene selection
- feature subset
- dna microarray
- sparse representation
- cancer classification
- low dimensional
- data sets
- nearest neighbor
- support vector machine svm
- linear discriminant
- gene expression data sets
- analysis of gene expression data
- gene expression profiles
- null space
- microarray datasets
- feature reduction
- text classification
- feature selection algorithms
- classification accuracy
- support vector machine
- unsupervised learning
- dimensionality reduction methods
- pattern recognition
- original data
- feature vectors
- knn
- sample size
- text categorization
- k nearest neighbor