Elicitation of Candidate Subspaces in High-Dimensional Data.
Srikanth ThudumuPhilip BranchJiong JinJugdutt SinghPublished in: HPCC/SmartCity/DSS (2019)
Keyphrases
- high dimensional data
- low dimensional
- nearest neighbor
- high dimensional
- high dimensionality
- dimensionality reduction
- data sets
- high dimensions
- data analysis
- original data
- subspace clustering
- sparse representation
- data points
- high dimensional spaces
- similarity search
- dimension reduction
- lower dimensional
- low rank
- high dimensional datasets
- manifold learning
- data distribution
- clustering high dimensional data
- input space
- linear discriminant analysis
- text data
- dimensional data
- pattern recognition
- nonlinear dimensionality reduction
- high dimensional feature spaces
- small sample size
- query processing
- feature space
- subspace learning
- learning algorithm
- data mining
- high dimensional data sets
- real world