Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets.
Meghana DeodharJoydeep GhoshGunjan GuptaHyuk ChoInderjit S. DhillonPublished in: ICDM Workshops (2008)
Keyphrases
- high dimensional datasets
- high dimensional
- noisy data
- data points
- high dimensional data
- low dimensional
- clustering algorithm
- clustering approaches
- subspace clustering
- outlier detection
- hierarchical clustering
- synthetic datasets
- feature space
- dimensionality reduction
- multi dimensional
- high dimensionality
- subspace clusters
- benchmark datasets
- text data
- high dimensional problems
- high dimension
- input space
- fuzzy clustering
- metric space
- dimensional data
- high dimensional spaces
- similarity search
- high dimensional feature spaces
- concept drift
- variable selection
- database
- training dataset
- sparse data
- parameter space
- similarity measure
- data clustering
- document clustering