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ESOM-Maps : tools for clustering , visualization , and classification with Emergent SOM
Content Provider | Semantic Scholar |
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Author | Ultsch, Alfred Mörchen, Fabian |
Copyright Year | 2005 |
Abstract | An overview on the usage of emergent self organizing maps is given. U-Maps visualize the distance structures of high dimensional data sets. P-Maps show their density structures and U*-Maps combine the advantages of the mentioned maps to a visualization suitable to detect nontrivial cluster structures. A concise summary on the usage of Emergent Self-organizing Maps (ESOM) for data mining is given. The tasks of visualization, clustering, and classification as they can be performed with the Databionics ESOM Tools are described. |
File Format | PDF HTM / HTML |
Alternate Webpage(s) | https://www.uni-marburg.de/fb12/arbeitsgruppen/datenbionik/pdf/pubs/2005/ultsch05esom |
Language | English |
Access Restriction | Open |
Content Type | Text |
Resource Type | Article |