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 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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Year of publication:	2004
Authors:	Weihs, Claus ; Luebke, Karsten ; Raabe, Nils
Publisher:	Dortmund : Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

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Series:	Technical Report ; 2004,65
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	479037779 [GVK] hdl:10419/22578 [Handle] RePEc:zbw:sfb475:200465 [RePEc]
Source:	EconStor

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010296649