Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The U-Matrix (Unified Distance Matrix) is a representation of a self organizing map (SOM) where the Euclidean distance between the codebook vector of the neighboring neurons is depicted in a gray scale image. It is used to visualize the data in a high dimensional space on a 2-D image.Once the SOM is trained using the input data, it is expected that the final map does not have any twists. In such a case the distance between the neighboring neurons gives an approximation of the distance between different parts of the underlying data. When such distances are depicted in a gray scale image, light colors depict the closely spaced nodes and darker colors indicate the more distant nodes. Thus, groups of light colors can be considered as a clusters, and the dark parts as the boundary regions. This way of representation can help us in visualizing the clusters in the high dimensional spaces.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The U-Matrix(Unified Distance Matrix) is a representation of a self organizing map(SOM) where the Euclidean distance between the codebook vector of theneighboring neurons is depicted in a gray scale image. It is used tovisualize the data in a high dimensional space on a 2-D image.Once theSOM is trained using the input data, it is expected that the final mapdoes not have any twists. In such a case the distance between theneighboring neurons gives an approximation of the distance betweendifferent parts of the underlying data. When such distances are depictedin a gray scale image, light colors depict the closely spaced nodes anddarker colors indicate the more distant nodes. Thus, groups of lightcolors can be considered as a clusters, and the dark parts as theboundary regions. This way of representation can help us in visualizingthe clusters in the high dimensional spaces.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. N° de réf. du vendeur 9786133264557
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