Local Partial Least Square classifier in high dimensionality classification.
Weiran SongHui WangPaul MaguireOmar NibouchePublished in: Neurocomputing (2017)
Keyphrases
- high dimensionality
- feature space
- feature selection
- dimension reduction
- partial least squares
- high dimensional
- high dimensional data
- small sample size
- data dimensionality
- feature ranking
- small sample
- dimensionality reduction
- support vector machine
- training samples
- classification accuracy
- classification method
- microarray
- feature selection and classification
- feature vectors
- classification rate
- class imbalance
- support vector
- small number of samples
- class labels
- feature extraction
- decision trees
- principal component analysis
- training set
- svm classifier
- classification algorithm
- discriminant analysis
- pattern recognition
- redundant features
- neural network
- text classification
- feature set
- kernel function
- unsupervised learning
- image classification
- least squares
- training data
- learning algorithm
- machine learning
- data sets