Visual Identification and Extraction of Intrinsic Axes in High-Dimensional Data.
Jiazhi XiaFenjin YeFangfang ZhouYi ChenXiaoyan KuiPublished in: IEEE Access (2019)
Keyphrases
- high dimensional data
- visual data
- dimensionality reduction
- low dimensional
- high dimensional
- intrinsic dimension
- high dimensionality
- high dimensions
- nearest neighbor
- data sets
- subspace clustering
- data points
- high dimensional spaces
- visual information
- data analysis
- original data
- geometric structure
- high dimensional datasets
- similarity search
- data distribution
- lower dimensional
- low dimensional structure
- manifold learning
- dimension reduction
- linear discriminant analysis
- visual features
- dimensional data
- information extraction
- underlying manifold
- clustering high dimensional data
- variable selection
- small sample size
- input data
- nonlinear dimensionality reduction
- database
- text data
- multi dimensional
- high dimensional data sets