KMC/EDAM a new approach for the visualization of K-Means Clustering results
In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through two stages. In the first stage the data is clustered by classical methods like K-means clustering. In the second stage t...
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| Sprache: | eng |
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2004
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| Schriftenreihe: | Technical Report / Sonderforschungsbereich 475, Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
2004,65 |
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Tag hinzufügen | Zusammenfassung: | In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through two stages. In the first stage the data is clustered by classical methods like K-means clustering. In the second stage the centroids of the obtained clusters are visualized in a fixed target space which is directly comparable to that of SOM. |
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| Beschreibung: | Internetausg.: http://www.sfb475.uni-dortmund.de/berichte/tr65-04.pdf |
| Beschreibung: | 8 S Ill |