A Game-Theoretic Rough Set Approach for Handling Missing Data in Clustering.
Nouman AzamMohammad Khan AfridiJingtao YaoPublished in: IEA/AIE (2018)
Keyphrases
- missing data
- game theoretic
- game theory
- dirichlet process mixture models
- missing values
- matrix factorization
- structure from motion
- decision problems
- low rank
- nash equilibrium
- k means
- incomplete data
- clustering algorithm
- multiple imputation
- nash equilibria
- missing information
- data imputation
- data points
- trust model
- rough sets
- perfect phylogeny
- pure nash equilibria
- combinatorial auctions
- nonnegative matrix factorization
- document clustering
- solution concepts
- regret minimization
- high dimensional data
- pure nash equilibrium
- rough set theory