A fuzzy c-means clustering algorithm based on nearest-neighbor intervals for incomplete data.
Dan LiHong GuLiyong ZhangPublished in: Expert Syst. Appl. (2010)
Keyphrases
- incomplete data
- fuzzy c means clustering algorithm
- nearest neighbor
- fuzzy clustering
- learning bayesian networks
- k nearest neighbor
- missing values
- fuzzy c means
- knn
- clustering algorithm
- missing data
- incomplete data sets
- em algorithm
- high dimensional data
- distance function
- bayesian networks
- high dimensional
- data points
- training set
- bayes classifier
- multiple imputation
- typical testors
- database
- irrelevant attributes
- maximum likelihood
- rough sets
- feature extraction
- missing attribute values
- artificial intelligence