Mining Representative Subspace Clusters in High-dimensional Data.
Guanhua ChenXiuli MaDongqing YangShiwei TangMeng ShuaiPublished in: FSKD (1) (2009)
Keyphrases
- subspace clusters
- subspace clustering
- high dimensional data
- arbitrarily oriented
- nearest neighbor
- low dimensional
- high dimensionality
- clustering high dimensional data
- dimensionality reduction
- data sets
- similarity search
- data analysis
- high dimensional
- data points
- high dimensional feature spaces
- original data
- clustering method
- input data
- sparse representation
- data distribution
- subspace clustering algorithms
- dimension reduction
- clustering algorithm
- lower dimensional
- linear discriminant analysis
- data mining
- high dimensional data sets
- high dimensional datasets
- high dimensional spaces
- text data
- association rule mining
- data structure
- feature extraction