BEADS: High dimensional data cluster visualization.
Soujanya VadapalliKamalakar KarlapalemPublished in: IEEE VAST (2009)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- data analysis
- nearest neighbor
- dimensionality reduction
- high dimensional
- variable weighting
- low dimensional
- cluster structure
- high dimensionality
- high dimensions
- similarity search
- dimension reduction
- subspace clusters
- clustering algorithm
- data sets
- sparse representation
- clustering high dimensional data
- high dimensional spaces
- data distribution
- original data
- manifold learning
- nonlinear dimensionality reduction
- high dimensional data sets
- small sample size
- dimensional data
- cluster analysis
- subspace learning
- input space
- input data
- linear discriminant analysis
- knn
- feature selection
- text data
- machine learning
- real world
- database