Hybrid Kohonen Self Organizing Map for the Uncertainty Involved in Overlapping Clusters Using Simulated Annealing

The Kohonen self organizing map is widely used as a popular tool in the exploratory phase of data mining. The SOM (self organizing maps) maps high dimensional space into a 2-dimensional grid by placing similar elements close together, forming clusters. Recently research experiments presented that to...

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Bibliographische Detailangaben

Hauptverfasser:	Mohebi, E., Sap, M.N.M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	clustering Clustering algorithms Computational modeling Computer simulation Neurons Organizing Rough set Self Organizing Map Set theory Signal processing algorithms Simulated annealing Space technology Uncertainty
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