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.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.