A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data.
Chaoyu GongZhi-gang SuPei-hong WangQian WangYang YouPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- high dimensional data
- sparse representation
- high dimensional
- sparse coding
- dimensionality reduction
- low dimensional
- nearest neighbor
- data sets
- high dimensions
- data points
- similarity search
- high dimensionality
- high dimension
- data distribution
- input space
- original data
- dimension reduction
- clustering high dimensional data
- data analysis
- input data
- subspace learning
- manifold learning
- dimensional data
- linear discriminant analysis
- random projections
- low rank
- small sample size
- high dimensional spaces
- subspace clustering
- knn
- variable selection
- multi dimensional
- high dimensional data sets
- natural images
- high dimensional datasets
- computer vision
- text data
- image classification
- image representation
- locally linear embedding
- feature space
- database
- neural network
- nonlinear dimensionality reduction
- face recognition
- high dimensional feature spaces