Dimensionality reduction via adjusting data distribution density.
Wei WangWeiguo ShenYaxin SunBin ChenRong ZhuPublished in: ICSAI (2018)
Keyphrases
- data distribution
- dimensionality reduction
- high dimensional data
- data points
- high dimensional
- high dimensionality
- low dimensional
- linear discriminant analysis
- principal component analysis
- data representation
- feature space
- pattern recognition
- data streams
- streaming data
- concept drift
- training instances
- feature extraction
- index structure
- distributed data
- principal components
- nearest neighbor
- decision boundary
- communication cost
- multi dimensional data
- graph embedding
- similarity search
- r tree
- hash functions
- discriminant analysis
- database
- management system
- data structure
- computer vision
- real world