The advanced-maximum-linkage clustering-algorithm

Lars Tschiersch and Matthias Zerbst

No 2002,10, Technical Reports from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen

Abstract: 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.

Date: 2002
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/77238/2/2002-10.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:sfb475:200210

Access Statistics for this paper

More papers in Technical Reports from Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().