Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification algorithms.
Yu GuoArmin GraberRobert N. McBurneyRaji BalasubramanianPublished in: BMC Bioinform. (2010)
Keyphrases
- statistical power
- sample size
- high dimensionality
- small sample size
- small sample
- high dimensional data
- statistical significance
- data dimensionality
- small samples
- model selection
- data sets
- high dimensional
- dimensionality reduction
- data points
- learning algorithm
- worst case
- support vector
- feature space
- statistical analysis
- training samples
- pattern recognition
- feature selection
- image processing
- training data
- feature extraction
- machine learning
- gene expression data
- data structure
- microarray
- special case