Missing Clusters Indicate Poor Estimates or Guesses of a Proper Fuzzy Exponent.
Ulrich MöllerPublished in: WILF (2007)
Keyphrases
- fuzzy clustering
- possibilistic clustering
- clustering algorithm
- fuzzy sets
- cluster analysis
- fuzzy clustering algorithm
- fuzzy c means
- membership functions
- fuzzy set theory
- fuzzy logic
- fuzzy rules
- hierarchical clustering
- fuzzy neural network
- membership values
- fuzzy k means
- missing data
- possibilistic c means
- rand index
- gustafson kessel
- missing information
- fuzzy numbers
- multi criteria
- fuzzy systems
- fuzzy controller
- soft computing
- missing values
- data points
- arbitrary shape
- power law
- data mining
- fuzzy membership functions
- overlapping clusters
- document clustering
- validity index
- self organizing maps
- expert systems
- unsupervised fuzzy clustering