The Fisher-Markov Selector: Fast Selecting Maximally Separable Feature Subset for Multiclass Classification with Applications to High-Dimensional Data.
Qiang ChengHongbo ZhouJie ChengPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2011)
Keyphrases
- high dimensional data
- multiclass classification
- feature subset
- multi class
- feature selection
- dimensionality reduction
- classification accuracy
- low dimensional
- feature space
- high dimensional
- data analysis
- nearest neighbor
- high dimensionality
- feature set
- data points
- ensemble methods
- binary classification
- genetic algorithm ga
- data sets
- support vector machine
- selected features
- input space
- machine learning algorithms
- regression problems
- base classifiers
- cost sensitive
- binary classifiers
- naive bayes
- input data
- pattern recognition
- genetic algorithm
- svm classifier
- variable selection
- neural network
- prediction accuracy
- semi supervised learning
- training set
- support vector
- feature extraction