A semiautonomous clustering algorithm based on decision-theoretic rough set theory.
Hong YuShuangshuang ChuDachun YangPublished in: IEEE ICCI (2010)
Keyphrases
- decision theoretic
- rough set theory
- clustering algorithm
- rough sets
- data reduction
- decision table
- approximate reasoning
- attribute reduction
- decision rules
- knowledge reduction
- rough fuzzy
- rule generation
- k means
- expected utility
- fuzzy set theory
- granular computing
- rough sets theory
- fuzzy c means
- data analysis
- knowledge discovery
- tool for data mining
- equivalence relation
- information entropy
- rule extraction
- decision theory
- discernibility matrix
- rule induction
- cluster analysis
- fuzzy logic
- attribute reduction algorithm
- state space
- expert systems
- pattern recognition
- variable precision rough set model
- information retrieval