Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory.
Johan SchubertPublished in: Inf. Fusion (2004)
Keyphrases
- belief functions
- dempster shafer theory
- dempster shafer
- evidential reasoning
- combination rule
- uncertain reasoning
- clustering algorithm
- markov random field
- probability theory
- probability function
- dempster shafer evidence theory
- k means
- markov tree
- probability functions
- clustering method
- uncertain information
- distributive lattices
- statistical mechanics
- set valued
- pattern recognition