Finding Clusters in subspaces of very large, multi-dimensional datasets.
Robson Leonardo Ferreira CordeiroAgma J. M. TrainaChristos FaloutsosCaetano Traina Jr.Published in: ICDE (2010)
Keyphrases
- multi dimensional
- subspace clusters
- multi dimensional data
- subspace clustering
- data points
- clustering algorithm
- arbitrarily oriented
- high dimensional datasets
- dimensional data
- high dimensional
- high dimensional data
- fuzzy clustering
- benchmark datasets
- high dimensional feature spaces
- feature selection
- training dataset
- synthetic datasets
- data cube
- range queries
- raw data
- arbitrary shape
- index structure
- input data
- data analysis
- feature extraction
- database