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gptkbp:instanceOf
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gptkb:convolutional_neural_network
unsupervised learning algorithm
|
|
gptkbp:activatedBy
|
winner-takes-all
|
|
gptkbp:alsoKnownAs
|
gptkb:Kohonen_map
SOM
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|
gptkbp:application
|
speech recognition
bioinformatics
pattern recognition
image analysis
market segmentation
|
|
gptkbp:category
|
gptkb:artificial_intelligence
gptkb:machine_learning
data mining
|
|
gptkbp:feature
|
competitive learning
neighborhood function
topology preservation
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
self-organizing maps
|
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gptkbp:input
|
high-dimensional data
|
|
gptkbp:introducedIn
|
1982
|
|
gptkbp:inventedBy
|
gptkb:Teuvo_Kohonen
|
|
gptkbp:openSource
|
gptkb:MiniSom
gptkb:SOMPY
gptkb:SOM_Toolbox_(Matlab)
|
|
gptkbp:output
|
low-dimensional (typically 2D) map
|
|
gptkbp:relatedTo
|
gptkb:principal_component_analysis
clustering algorithms
vector quantization
|
|
gptkbp:trainer
|
unsupervised
|
|
gptkbp:updateRule
|
weight adaptation based on neighborhood
|
|
gptkbp:usedFor
|
gptkb:data_visualization
clustering
dimensionality reduction
|
|
gptkbp:visualizes
|
gptkb:U-matrix
component planes
|
|
gptkbp:bfsParent
|
gptkb:Hebbian_learning
|
|
gptkbp:bfsLayer
|
6
|