Relevant, irredundant feature selection and noisy example elimination.
George V. LashkiaLaurence AnthonyPublished in: IEEE Trans. Syst. Man Cybern. Part B (2004)
Keyphrases
- feature selection
- irrelevant attributes
- database
- feature extraction
- feature selection algorithms
- noisy data
- text categorization
- multi class
- text classification
- relevant attributes
- irrelevant features
- closely related
- knn
- classification accuracy
- feature set
- unsupervised learning
- support vector machine
- high dimensionality
- microarray data
- support vector
- noisy environments
- small sample
- training data
- machine learning
- neural network