An iterative SVM approach to feature selection and classification in high-dimensional datasets.
Dehua LiuHui QianGuang DaiZhihua ZhangPublished in: Pattern Recognit. (2013)
Keyphrases
- feature selection and classification
- high dimensional datasets
- high dimensionality
- feature selection
- feature space
- high dimensional data
- high dimensional
- support vector
- support vector machine svm
- support vector machine
- dimensionality reduction
- outlier detection
- knn
- microarray
- selected features
- high dimensional spaces
- nearest neighbor
- svm classifier
- feature extraction
- feature vectors
- kernel function
- text categorization
- text classification
- concept drift
- classification algorithm
- classification accuracy
- multi dimensional
- non stationary
- machine learning
- training set
- training data
- decision trees
- computer vision