Fast Attribute-based Unsupervised and Supervised Table Clustering using P-Trees.
Arjun G. RoyMatthew PiehlArijit ChatterjeeMohammad K. HossainBryan MesichTingda LuGregory H. WettsteinAmal PereraWilliam PerrizoPublished in: SEDE (2011)
Keyphrases
- unsupervised learning
- unsupervised feature selection
- semi supervised
- supervised classification
- supervised learning
- unsupervised classification
- word sense induction
- unsupervised clustering
- data clustering
- clustering method
- instance level constraints
- unsupervised methods
- clustering algorithm
- unsupervised and semi supervised
- unsupervised manner
- decision trees
- information bottleneck
- data points
- completely unsupervised
- agglomerative clustering
- graph theoretic
- supervised methods
- supervised clustering
- cluster analysis
- weakly supervised
- supervised training
- learning algorithm
- semi supervised learning
- k means
- document clustering
- tree structure
- clustering ensemble
- website
- discriminant projection
- data driven
- machine learning
- data structure
- randomized trees
- feature space
- pairwise
- expectation maximization
- anomaly detection
- self organizing maps
- information theoretic
- neural network