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Self-Organizing Maps Teuvo Kohonen
Publisher: Springer

Le reti SOM (Self-organizing maps) sono un particolare tipo di ANN che creano una forte ed interessante analogia con le reti biologiche che compongono la corteccia celebrale. Until now, all of my posts have focussed on supervised learning, i.e. The goal of self organizing maps (SOM) is to reduce the dimensionality of a set of vectors to a grid, so the set can be displayed in a 2D (or 3D) map. This book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. In this post, I shall be discussing Self Organising Maps (SOM), which are also known as Kohonen maps or topographical maps. Cite as: Yan J, Thill J-C, 2009, "Visual data mining in spatial interaction analysis with self-organizing maps" Environment and Planning B: Planning and Design 36(3) 466 – 486. Published online 2010 December 16. Our specialized realization of self-organizing maps is well-suitable to gain insight into complex pattern variation in a large set of metabolite profiles. I put up a new page on Understanding Self-Organizing Maps. Understanding Self-Organizing Maps. Evaluation BMKG ZOM shows there are some locations that have poor performance. Recent studies proposed various parallel implementations of Self-Organizing Map algorithm, and they proved the linear speed up as increasing the number of processors. Catchment classification by runoff behaviour with self-organizing maps (SOM) R. Download citation data in RIS format.