Fuzzy C-Means

GPTKB entity

Statements (32)
Predicate Object
gptkbp:instanceOf gptkb:algorithm
gptkbp:alsoKnownAs gptkb:FCM
gptkbp:application bioinformatics
pattern recognition
medical imaging
image segmentation
gptkbp:basedOn gptkb:fuzzy_set_theory
gptkbp:citation Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms.
gptkbp:convergenceCriterion change in membership values
gptkbp:developedBy gptkb:James_C._Bezdek
gptkbp:field gptkb:machine_learning
pattern recognition
data mining
gptkbp:generalizes gptkb:K-means_clustering
https://www.w3.org/2000/01/rdf-schema#label Fuzzy C-Means
gptkbp:introducedIn 1973
gptkbp:limitation sensitive to initial values
requires number of clusters as input
may converge to local minima
gptkbp:mathematicalFoundation fuzzy logic
gptkbp:measures Euclidean distance
gptkbp:membershipValueRange 0 to 1
gptkbp:numberOfClusters user-defined
gptkbp:objective minimizes within-cluster variance
gptkbp:output cluster centers
membership matrix
gptkbp:relatedTo gptkb:K-means_clustering
gptkbp:requires initial cluster centers
gptkbp:supportsAlgorithm unsupervised learning
gptkbp:uses membership grades
gptkbp:bfsParent gptkb:Fuzzy_Clustering
gptkbp:bfsLayer 6