Evaluating feature selection strategies for high dimensional, small sample size datasets.
Abhishek GolugulaGeorge LeeAnant MadabhushiPublished in: EMBC (2011)
Keyphrases
- small sample size
- selection strategies
- high dimensional
- high dimensionality
- sample size
- stability of feature selection
- linear discriminant analysis
- selection strategy
- microarray data
- face recognition
- high dimensional data
- dimensionality reduction
- feature selection
- search strategies
- feature vectors
- low dimensional
- nearest neighbor
- microarray
- data points
- feature space
- upper bound
- gene expression data
- principal component analysis
- search strategy
- document collections
- latent dirichlet allocation