Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction.
Ruggero G. PensaJean-François BoulicautPublished in: SEBD (2008)
Keyphrases
- user defined
- constraint satisfaction
- numerical data
- categorical data
- objective function
- constraint satisfaction problems
- cluster analysis
- data types
- numerical attributes
- constraint propagation
- heuristic search
- query language
- data sets
- constraint relaxation
- constraint programming
- symbolic data
- attribute values
- russian doll search
- robust fault detection
- constraint networks
- constraint solving
- search space
- distance measure
- constraint problems
- constrained problems
- relational databases
- high dimensional
- preprocessing
- databases