A comparative study of the effect of the position of outliers on classical and nontraditional approaches to the two-group classification problem.
Robert PavurPublished in: Eur. J. Oper. Res. (2002)
Keyphrases
- pattern recognition
- decision trees
- neural networks and support vector machines
- machine learning methods
- support vector machine svm
- classification accuracy
- machine learning algorithms
- automatic classification
- pattern classification
- classification algorithm
- machine learning
- support vector
- supervised learning
- classification process
- feature vectors
- machine learning approaches
- classification scheme
- preprocessing
- classification rules
- outlier detection
- neural network
- classification schemes
- individual level
- classification systems
- comparative study
- density estimation
- feature selection
- data points
- decision rules
- cross validation
- class labels
- data sets
- unsupervised learning
- text classification
- image classification
- data mining techniques
- least squares