Discovering the Skyline of Subspace Clusters in High-Dimensional Data.
Guanhua ChenXiuli MaDongqing YangShiwei TangPublished in: FSKD (2) (2008)
Keyphrases
- subspace clustering
- high dimensional data
- subspace clusters
- high dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- low dimensional
- data distribution
- skyline queries
- clustering high dimensional data
- data sets
- multi dimensional
- high dimensional feature spaces
- data points
- arbitrarily oriented
- data analysis
- similarity search
- lower dimensional
- manifold learning
- query processing
- linear discriminant analysis
- dimension reduction
- subspace clustering algorithms
- original data
- sparse representation
- input space
- text data
- principal component analysis
- distance function
- high dimensional spaces
- high dimensional datasets
- kernel function
- input data
- computer vision
- neural network