A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value.
Liyong ZhangWei LuXiaodong LiuWitold PedryczChongquan ZhongLu WangPublished in: Int. J. Intell. Syst. (2016)
Keyphrases
- incomplete data
- missing values
- incomplete data sets
- missing data
- learning bayesian networks
- high dimensional data
- clustering algorithm
- data imputation
- em algorithm
- k means
- bayesian networks
- bayes classifier
- machine learning
- missing attribute values
- data matrix
- noisy data
- multiple imputation
- spectral clustering
- typical testors
- matrix factorization
- cluster analysis
- high dimensional
- image processing
- computer vision
- data sets