Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images.
Carlton ChuAi-Ling HsuKun-Hsien ChouPeter A. BandettiniChing-Po LinPublished in: NeuroImage (2012)
Keyphrases
- feature selection
- sample size
- magnetic resonance images
- small sample
- small samples
- model selection
- small sample size
- classification accuracy
- feature selection algorithms
- medical images
- text classification
- high dimensionality
- support vector
- support vector machine
- feature set
- feature subset
- feature extraction
- feature space
- upper bound
- microarray data
- machine learning
- mr images
- covariance matrix
- dimensionality reduction
- brain structures
- mri data
- pattern recognition
- medical imaging
- image analysis
- brain tissue
- high dimension
- decision trees
- inter subject
- data sets
- image modalities