Classification for high-throughput data with an optimal subset of principal components.
Joon Jin SongYuan RenFenglan YanPublished in: Comput. Biol. Chem. (2009)
Keyphrases
- principal components
- principal component analysis
- feature set
- kernel principal component analysis
- classification accuracy
- feature subset
- dimensionality reduction
- optimal solution
- pattern recognition
- machine learning
- support vector machine svm
- principal components analysis
- feature vectors
- pattern classification
- feature extraction
- classification method
- model selection
- training set
- hyperplane
- covariance matrix
- text classification
- decision trees
- preprocessing
- unsupervised learning
- svm classifier
- neural network
- support vector machine
- image processing
- feature selection
- feature space
- multivariate data
- support vector