The Advanced-Maximum-Linkage Clustering-Algorithm

dc.contributor.author	Tschiersch, Lars	de
dc.contributor.author	Zerbst, Matthias	de
dc.date.accessioned	2004-12-06T18:44:17Z
dc.date.available	2004-12-06T18:44:17Z
dc.date.issued	2002	de
dc.description.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 element [0, 1] is introduced. The parameter gives the degree to which the frequency structure is regarded.	en
dc.format.extent	1892338 bytes
dc.format.extent	355350 bytes
dc.format.mimetype	application/pdf
dc.format.mimetype	application/postscript
dc.identifier.uri	http://hdl.handle.net/2003/5082
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-3093
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject.ddc	310	de
dc.title	The Advanced-Maximum-Linkage Clustering-Algorithm	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access
eldorado.dnb.deposit	true

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