Density-Connected Subspace Clustering for High-Dimensional Data.
Karin KailingHans-Peter KriegelPeer KrögerPublished in: SDM (2004)
Keyphrases
- subspace clustering
- high dimensional data
- dense regions
- high dimensional
- clustering high dimensional data
- low dimensional
- nearest neighbor
- dimensionality reduction
- high dimensionality
- subspace clusters
- data analysis
- data sets
- similarity search
- dimension reduction
- original data
- data points
- input data
- lower dimensional
- high dimensional feature spaces
- data distribution
- input space
- manifold learning
- complex data
- linear discriminant analysis
- dimensional data
- machine learning
- real world
- database
- pattern recognition
- clustering algorithm
- subspace clustering algorithms