Manifold-based denoising, outlier detection, and dimension reduction algorithm for high-dimensional data.
Guanghua ZhaoTao YangDongmei FuPublished in: Int. J. Mach. Learn. Cybern. (2023)
Keyphrases
- outlier detection
- high dimensional data
- denoising
- intrinsic dimension
- low dimensional
- high dimensional datasets
- manifold learning
- high dimensional
- dimensional data
- lower dimensional
- nonlinear dimensionality reduction
- dimensionality reduction
- nearest neighbor
- locally linear embedding
- data analysis
- detection algorithm
- high dimensionality
- subspace clustering
- knowledge discovery
- data mining
- image processing
- similarity search
- data sets
- input space
- data points
- density estimation
- low rank
- diffusion maps
- detect outliers
- data distribution
- data streams
- manifold structure
- missing values
- underlying manifold
- detecting outliers
- euclidean space
- pattern recognition
- higher dimensional
- high dimensional spaces
- data structure
- input data
- feature space
- database