Modified Regularization for High-dimensional Data Decomposition.
Sheng ChaiWenying FengHossam HassaneinPublished in: WI/IAT (2022)
Keyphrases
- high dimensional data
- low dimensional
- high dimensional
- high dimensionality
- nearest neighbor
- dimensionality reduction
- high dimensions
- original data
- subspace clustering
- data points
- similarity search
- data analysis
- data sets
- input space
- nonlinear dimensionality reduction
- high dimensional data sets
- manifold learning
- lower dimensional
- linear discriminant analysis
- input data
- dimension reduction
- regularization parameter
- variable selection
- dimensional data
- high dimensional datasets
- text data
- data distribution
- computer vision
- low rank
- sparse representation
- clustering high dimensional data
- locally linear embedding
- multi dimensional
- pairwise
- neural network