Visualization of big high dimensional data in a three dimensional space.
Ying XiePooja ChennaJing (Selena) HeLinh LeJacey PlanteenPublished in: BDCAT (2016)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- nearest neighbor
- high dimensional
- subspace clustering
- data sets
- high dimensions
- high dimensionality
- low dimensional
- data points
- similarity search
- clustering high dimensional data
- dimension reduction
- variable selection
- original data
- input data
- nonlinear dimensionality reduction
- input space
- data distribution
- complex data
- lower dimensional
- dimensional data
- sparse representation
- high dimensional datasets
- manifold learning
- high dimensional data sets
- linear discriminant analysis
- subspace learning
- detection algorithm
- multi dimensional
- image data
- k means
- feature extraction