Two-stage framework for visualization of clustered high dimensional data.
Jaegul ChooShawn BohnHaesun ParkPublished in: IEEE VAST (2009)
Keyphrases
- learning algorithm
- high dimensional data
- machine learning
- high dimensional
- nearest neighbor
- subspace clustering
- dimensionality reduction
- data sets
- data analysis
- high dimensions
- original data
- high dimensionality
- low dimensional
- data points
- similarity search
- lower dimensional
- dimension reduction
- low rank
- dimensional data
- face recognition
- sparse representation
- data distribution
- linear discriminant analysis
- clustering algorithm
- image processing
- variable selection
- data mining
- high dimensional datasets
- real world