PLS-based recursive feature elimination for high-dimensional small sample.
Wenjie YouZijiang YangGuoli JiPublished in: Knowl. Based Syst. (2014)
Keyphrases
- small sample
- high dimensional
- recursive feature elimination
- support vector machine
- feature selection algorithms
- feature selection
- ls svm
- gene selection
- high dimensionality
- cancer diagnosis
- feature space
- support vector
- microarray data
- low dimensional
- dimensionality reduction
- support vector machine svm
- sample size
- gene expression data
- svm classifier
- machine learning
- high dimensional data
- nearest neighbor
- terms of classification accuracy
- data points
- data sets
- kernel function
- knn
- feature set
- feature vectors
- training data
- correlation coefficient
- pattern recognition
- kernel methods