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gptkbp:instanceOf
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gptkb:algorithm
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gptkbp:alsoKnownAs
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gptkb:FCM
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gptkbp:application
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bioinformatics
pattern classification
image segmentation
market segmentation
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gptkbp:basedOn
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gptkb:fuzzy_set_theory
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gptkbp:convergesTo
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local minimum
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gptkbp:developedBy
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gptkb:James_C._Bezdek
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gptkbp:field
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gptkb:machine_learning
pattern recognition
data mining
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gptkbp:generalizes
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gptkb:K-means_clustering
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https://www.w3.org/2000/01/rdf-schema#label
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Fuzzy C-means
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gptkbp:implementedIn
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gptkb:Python
gptkb:MATLAB
R
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gptkbp:input
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gptkb:dataset
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gptkbp:introducedIn
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1973
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gptkbp:limitation
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sensitive to outliers
sensitive to initial values
requires number of clusters as input
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gptkbp:objective
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minimizes weighted within-group sum of squared errors
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gptkbp:output
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cluster centers
membership matrix
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gptkbp:relatedTo
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gptkb:K-means_clustering
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gptkbp:requires
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fuzziness parameter
number of clusters
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gptkbp:supportsAlgorithm
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unsupervised learning
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gptkbp:uses
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membership grades
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gptkbp:bfsParent
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gptkb:K-means_clustering
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gptkbp:bfsLayer
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7
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