Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: http://hdl.handle.net/10419/77238
Autor:innen: 
Tschiersch, Lars
Zerbst, Matthias
Datum: 
2002
Schriftenreihe/Nr.: 
Technical Report No. 2002,10
Verlag: 
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen, Dortmund
Zusammenfassung: 
The advanced maximum-linkage-algorithm (AMLA) is a derivative of the maximum-linkage-algorithm (MLA) given by Zerbst (2001). AMLA produces clusterings which have a good separation between the built classes. To reach the separation, centroids were calculated, which are the basis for classification. The separation between the classes is considered large, if this is also true for the so far calculated centroids. The selection of centroids having a large distance to each other is also guaranteed using the MLA. AMLA is improved in this way that the underlying frequency structure of the data can be adapted individually to the problem under consideration. Therefore an additional parameter p∈[0,1] is introduced. The parameter gives the degree to which the frequency structure is regarded.
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
1.85 MB
374.92 kB





Publikationen in EconStor sind urheberrechtlich geschützt.