Ranking Interesting Subspaces for Clustering High Dimensional Data.
Karin KailingHans-Peter KriegelPeer KrögerStefanie WankaPublished in: PKDD (2003)
Keyphrases
- clustering high dimensional data
- high dimensional data
- high dimensional
- subspace clustering
- subspace clusters
- low dimensional
- ranking algorithm
- data sets
- ranking functions
- user feedback
- arbitrarily oriented
- lower dimensional
- learning to rank
- web search
- nearest neighbor
- high dimensionality
- linear subspace
- rank aggregation
- data analysis
- rank order
- training data