Controlling High-Dimensional Data With Sparse Input.
Dan-Andrei IliescuDevang Savita Ram MohanTian Huey TehZack HodariPublished in: CoRR (2023)
Keyphrases
- high dimensional data
- high dimensional
- sparse representation
- low dimensional
- dimensionality reduction
- input data
- high dimensionality
- high dimension
- nearest neighbor
- data points
- data sets
- high dimensions
- similarity search
- subspace clustering
- original data
- input space
- dimension reduction
- manifold learning
- clustering high dimensional data
- data analysis
- missing values
- high dimensional data sets
- high dimensional spaces
- data distribution
- low rank
- dimensional data
- random projections
- lower dimensional
- text data
- variable selection
- multi dimensional
- sparse coding
- linear discriminant analysis
- image processing
- underlying manifold
- neural network
- feature space
- nonlinear dimensionality reduction
- high dimensional feature spaces