Density Connected Clustering with Local Subspace Preferences.
Christian BöhmKarin KailingHans-Peter KriegelPeer KrögerPublished in: ICDM (2004)
Keyphrases
- clustering method
- high dimensional data
- k means
- clustering algorithm
- subspace clustering
- density based clustering algorithm
- unsupervised learning
- graph theoretic
- spectral clustering
- cluster analysis
- clustering high dimensional data
- locality preserving
- arbitrary shape
- data clustering
- dimensionality reduction
- self organizing maps
- multi attribute
- principal component analysis
- data sets
- categorical data
- low dimensional
- subspace clusters
- soft constraints
- dense regions
- utility function
- high dimensional
- linear subspace
- anomaly detection
- user preferences
- hierarchical clustering
- distance metric