Modified linear discriminant analysis approaches for classification of high-dimensional microarray data.
Ping XuGuy N. BrockRudolph S. ParrishPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- small sample size
- microarray data
- linear discriminant analysis
- high dimensional
- high dimensionality
- dimensionality reduction
- microarray
- gene expression data
- gene selection
- face recognition
- dimension reduction
- discriminant analysis
- feature selection
- feature space
- high dimensional data
- sample size
- feature extraction
- gene expression
- data sets
- null space
- support vector machine svm
- principal component analysis
- gene expression profiles
- dna microarray data
- microarray data analysis
- cancer classification
- discriminant features
- cluster analysis
- support vector
- small number of samples
- microarray datasets
- low dimensional
- data points
- fisher criterion
- computer vision
- data mining
- text classification
- gene sets
- data mining techniques
- face images
- object recognition