Dimensionality Reduction for Microarray Data Using Local Mean Based Discriminant Analysis.
Yan CuiChun-Hou ZhengJian YangPublished in: ICIC (2) (2013)
Keyphrases
- microarray data
- discriminant analysis
- dimensionality reduction
- linear discriminant analysis
- high dimensional
- feature selection
- dimensionality reduction methods
- principal component analysis
- cluster analysis
- feature extraction
- kernel discriminant analysis
- high dimensional data
- microarray
- gene expression
- high dimensionality
- gene expression data
- gene selection
- face recognition
- low dimensional
- graph embedding
- unsupervised learning
- small sample size
- data representation
- feature space
- data sets
- microarray data analysis
- dimension reduction
- factor analysis
- subspace learning
- discriminant projection
- data points
- pattern recognition
- manifold learning
- fisher discriminant analysis
- scatter matrices
- microarray datasets
- nearest neighbor
- cancer classification
- null space
- real world
- image processing
- k nearest neighbor
- kernel learning
- kernel trick
- gene sets
- kernel pca
- microarray analysis