Representing the dynamics of high-dimensional data with non-redundant wavelets.
Shanshan JiaXingyi LiTiejun HuangJian K. LiuZhaofei YuPublished in: Patterns (2022)
Keyphrases
- high dimensional data
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensions
- high dimensionality
- subspace clustering
- similarity search
- data sets
- data points
- data analysis
- signal processing
- complex data
- sparse representation
- input space
- linear discriminant analysis
- dimension reduction
- original data
- high dimensional spaces
- lower dimensional
- high dimensional datasets
- clustering high dimensional data
- data distribution
- image processing
- text data
- input data
- nonlinear dimensionality reduction
- high dimensional data sets
- data mining
- locally linear embedding
- dimensional data
- feature extraction
- manifold learning
- microarray
- principal component analysis
- decision trees
- variable weighting