Progressive Subspace Skyline Clusters Mining on High Dimensional Data.
Rong HuYansheng LuLei ZouChong ZhouPublished in: PAKDD Workshops (2007)
Keyphrases
- high dimensional data
- subspace clustering
- subspace clusters
- clustering high dimensional data
- data points
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- high dimensional
- high dimensional datasets
- data distribution
- high dimensions
- input space
- data sets
- dimension reduction
- subspace clustering algorithms
- multi dimensional
- similarity search
- data analysis
- original data
- lower dimensional
- high dimensional feature spaces
- low rank
- linear discriminant analysis
- query processing
- dimensional data
- manifold learning
- text data
- high dimensional data sets
- clustering algorithm
- sparse representation
- high dimensional spaces
- clustering method
- pattern recognition
- text mining
- cluster analysis
- image processing
- database