A hybrid clustering algorithm based on missing attribute interval estimation for incomplete data.
Li ZhangZhaohong BingLiyong ZhangPublished in: Pattern Anal. Appl. (2015)
Keyphrases
- incomplete data
- missing attribute values
- interval estimation
- clustering algorithm
- missing data
- missing values
- irrelevant attributes
- learning bayesian networks
- bayesian networks
- em algorithm
- collaborative filtering
- incomplete data sets
- data sets
- k means
- bayes classifier
- attribute values
- markov decision processes
- feature space
- variational bayesian
- computer vision
- machine learning
- cluster analysis
- matrix factorization
- training data
- models built
- databases
- database