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Statements

Subject Item
dbr:Growing_self-organizing_map
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Growing self-organizing map
rdfs:comment
A growing self-organizing map (GSOM) is a growing variant of a self-organizing map (SOM). The GSOM was developed to address the issue of identifying a suitable map size in the SOM. It starts with a minimal number of nodes (usually 4) and grows new nodes on the boundary based on a heuristic. By using the value called Spread Factor (SF), the data analyst has the ability to control the growth of the GSOM.
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dbr:Cluster_analysis dbr:Time_Adaptive_Self-Organizing_Map dbr:Classification_in_machine_learning dbc:Machine_learning_algorithms dbr:Machine_learning dbr:Self-organizing_map dbr:Self_Organizing_Map dbc:Artificial_neural_networks dbr:Elastic_map n14:SOM_versus_GSOM.png dbr:Data_mining dbr:Artificial_intelligence dbr:Nonlinear_dimensionality_reduction n14:GSOM-new-node-growth.gif
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A growing self-organizing map (GSOM) is a growing variant of a self-organizing map (SOM). The GSOM was developed to address the issue of identifying a suitable map size in the SOM. It starts with a minimal number of nodes (usually 4) and grows new nodes on the boundary based on a heuristic. By using the value called Spread Factor (SF), the data analyst has the ability to control the growth of the GSOM. All the starting nodes of the GSOM are boundary nodes, i.e. each node has the freedom to grow in its own direction at the beginning. (Fig. 1) New Nodes are grown from the boundary nodes. Once a node is selected for growing all its free neighboring positions will be grown new nodes. The figure shows the three possible node growth options for a rectangular GSOM.
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