VAGA: Towards Accurate and Interpretable Outlier Detection Based on Variational Auto-Encoder and Genetic Algorithm for High-Dimensional Data.
Jiamu LiJi ZhangJian WangYouwen ZhuMohamed Jaward BahGaoming YangYuquan GanPublished in: IEEE BigData (2021)
Keyphrases
- outlier detection
- high dimensional data
- high dimensional datasets
- genetic algorithm
- high dimensional
- nearest neighbor
- low dimensional
- dimensionality reduction
- knowledge discovery
- data sets
- high dimensionality
- subspace clustering
- data analysis
- data streams
- detection algorithm
- data points
- data mining
- low rank
- data distribution
- similarity search
- density ratio estimation
- detecting outliers
- clustering high dimensional data
- high dimensional spaces
- dimensional data
- detect outliers
- distance based outlier detection
- density estimation
- input space
- input data
- missing values
- model selection
- knn
- spatial outliers
- data structure
- image processing
- neural network