Sparse Estimation Strategies in Linear Mixed Effect Models for High-Dimensional Data Application.
Eugene A. OpokuSyed Ejaz AhmedFarouk S. NathooPublished in: Entropy (2021)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensions
- dimension reduction
- original data
- data sets
- subspace clustering
- data points
- intrinsic dimensionality
- sparse representation
- input space
- clustering high dimensional data
- lower dimensional
- small sample size
- high dimensionality
- manifold learning
- data analysis
- neural network
- missing values
- variable selection
- text data
- similarity search
- principal component analysis
- subspace learning
- high dimensional spaces
- computer vision
- machine learning
- high dimensional feature spaces