Dimension Reduction for Outlier Detection Using DOBIN.
Sevvandi KandanaarachchiRob J. HyndmanPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- dimension reduction
- outlier detection
- feature extraction
- principal component analysis
- knowledge discovery
- fraud detection
- detection algorithm
- high dimensional
- low dimensional
- density ratio estimation
- high dimensional data
- data streams
- singular value decomposition
- feature selection
- unsupervised learning
- detecting outliers
- high dimensionality
- cluster analysis
- feature space
- linear discriminant analysis
- dimensionality reduction
- credit card fraud detection
- detect outliers
- data mining
- density estimation
- preprocessing
- data sets
- information retrieval
- data clustering
- image processing
- training data
- text mining
- data points