Autoencoder-based outlier detection for sparse, high dimensional data.
Wanghu ChenHuijun LiJing LiAli ArshadPublished in: IEEE BigData (2020)
Keyphrases
- knn
- outlier detection
- high dimensional data
- nearest neighbor
- high dimensional datasets
- sparse representation
- high dimensional
- similarity search
- high dimensionality
- dimensionality reduction
- detection algorithm
- subspace clustering
- data analysis
- low dimensional
- knowledge discovery
- high dimensional spaces
- density ratio estimation
- input space
- data sets
- dimensional data
- detecting outliers
- data distribution
- missing values
- low rank
- density estimation
- detect outliers
- data points
- feature selection
- data streams
- data mining
- clustering high dimensional data
- neural network
- machine learning
- computer vision
- databases
- euclidean distance
- pairwise