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Cluster analysis algorithm: SOM-SC (Self-Organized Feature Map for Simple Clustering) More...
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| Class represents simple clustering algorithm based on self-organized feature map. More... | |
Cluster analysis algorithm: SOM-SC (Self-Organized Feature Map for Simple Clustering)
There is no paper on which implementation is based. Algorithm SOM-SC is adaptation of SOM for cluster analysis in simple way. Basic idea: amount of cluster that should be allocated is defines amount of neurons in the self-organized map. SOM-SC can be considered as neural network implementation of K-Means algorithm. Implementation based on paper [21].
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