DUSC: Dimensionality Unbiased Subspace Clustering.
Ira AssentRalph KriegerEmmanuel MüllerThomas SeidlPublished in: ICDM (2007)
Keyphrases
- subspace clustering
- high dimensional
- high dimensionality
- subspace clustering algorithms
- high dimensional data
- dimensionality reduction
- subspace clusters
- clustering high dimensional data
- clustering method
- high dimensional spaces
- low dimensional
- clustering algorithm
- overlapping clusters
- subspace projections
- high dimensional feature spaces
- subspace projection
- feature space
- nearest neighbor
- subgraph mining
- lower dimensional
- low dimensional spaces
- clustering approaches
- computer vision
- dense regions
- feature selection