An Approach to Objective Optimization of High-dimensional Data.
Chenhan ZhaiWanghu ChenMeilin ZhouPengbo LvYan SunAli ArshadPublished in: ICCBDC (2021)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensions
- nearest neighbor
- low dimensional
- high dimensionality
- high dimensional
- subspace clustering
- data analysis
- clustering high dimensional data
- dimension reduction
- original data
- data points
- input space
- data sets
- data distribution
- lower dimensional
- similarity search
- sparse representation
- high dimensional data sets
- complex data
- high dimensional datasets
- dimensional data
- high dimensional spaces
- pattern recognition
- feature space
- small sample size
- neural network
- nonlinear dimensionality reduction
- variable selection
- low rank
- linear discriminant analysis
- subspace learning
- nearest neighbor search
- input data
- image data
- outlier detection
- principal component analysis