Finding k-Dominant G-Skyline Groups on High Dimensional Data.
Kaiqi ZhangHong GaoXixian HanJinbao WangPublished in: IEEE Access (2018)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensionality
- subspace clustering
- data points
- high dimensions
- data analysis
- data sets
- data distribution
- linear discriminant analysis
- similarity search
- multi dimensional
- lower dimensional
- nonlinear dimensionality reduction
- sparse representation
- dimension reduction
- clustering high dimensional data
- original data
- input space
- text data
- query processing
- skyline queries
- pattern recognition
- subspace learning
- dimensional data
- high dimensional datasets
- variable selection
- high dimensional spaces
- image processing
- small sample size
- data mining
- high dimensional data sets
- neural network