Selective Feature Bagging of one-class classifiers for novelty detection in high-dimensional data.
Biao WangWenjing WangGuanglei MengTiankuo MengBin SongYingnan WangYuming GuoZhihua QiaoZhizhong MaoPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- high dimensional data
- novelty detection
- dimensionality reduction
- high dimensional
- text filtering
- low dimensional
- anomaly detection
- data sets
- subspace clustering
- nearest neighbor
- high dimensionality
- data analysis
- data points
- similarity search
- clustering high dimensional data
- data distribution
- input space
- concept drift
- lower dimensional
- ensemble methods
- feature vectors
- linear discriminant analysis
- decision trees
- manifold learning
- ensemble learning
- feature set
- high dimensional datasets
- generalization error
- variable weighting
- input data
- image data
- pattern recognition
- data mining
- svm classifier
- text mining
- feature space
- learning algorithm