Relevant Subspace Clustering: Mining the Most Interesting Non-redundant Concepts in High Dimensional Data.
Emmanuel MüllerIra AssentStephan GünnemannRalph KriegerThomas SeidlPublished in: ICDM (2009)
Keyphrases
- subspace clustering
- high dimensional data
- subspace clusters
- subgraph mining
- high dimensional
- dimensionality reduction
- low dimensional
- high dimensionality
- nearest neighbor
- data sets
- similarity search
- data analysis
- clustering high dimensional data
- dimension reduction
- subspace clustering algorithms
- data points
- original data
- complex data
- subspace learning
- pattern mining
- text mining
- data mining
- clustering method
- high dimensional spaces
- high dimensional datasets
- principal component analysis
- high dimensional feature spaces
- feature space
- frequent itemsets
- manifold learning
- small sample size
- mining frequent itemsets
- training set
- feature extraction