Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof.
S. AskariN. MontazerinM. H. Fazel ZarandiE. HakimiPublished in: Neurocomputing (2017)
Keyphrases
- noisy data
- fuzzy c means
- possibilistic clustering
- clustering algorithm
- fuzzy clustering
- clustering method
- convergence proof
- fcm algorithm
- k means
- hard c means
- fuzzy clustering algorithm
- fuzzy clustering algorithms
- possibilistic c means
- cluster centers
- cluster analysis
- image segmentation
- cluster validity index
- data clustering
- input data
- missing values
- missing data
- high dimensional
- high dimensionality
- training data
- bregman divergences
- machine learning
- decision making
- rough sets
- fuzzy logic
- decision trees