Cluster analysis of simulated vegetation data

  • Two sets of simulated, randomly distributed, vegetation data of different complexity (3 and 50 species) were analysed with both a "single linkage" and a "sum-of-squares" clustering method. The 3-species data showed a strong clustering with both methods. Only the "sum-of-squares" method showed strong clustering in the data with 50 species. The "single linkage" clustering resulted in "chaining", pointing to a more continuously variable vegetation. It is emphasized that many clustering methods result in strong clustering even when the data are random.

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Metadaten
Author:H. van Groenewoud
URN:urn:nbn:de:hebis:30:3-367834
ISSN:0722-494X
Parent Title (Multiple languages):Tuexenia : Mitteilungen der Floristisch-Soziologischen Arbeitsgemeinschaft
Document Type:Article
Language:English
Date of Publication (online):2015/01/29
Year of first Publication:1983
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2015/01/29
Volume:3
Page Number:7
First Page:523
Last Page:528
HeBIS-PPN:367705281
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 58 Pflanzen (Botanik) / 580 Pflanzen (Botanik)
Sammlungen:Sammlung Biologie / Sondersammelgebiets-Volltexte
Zeitschriften / Jahresberichte:Tuexenia : Mitteilungen der Floristisch-Soziologischen Arbeitsgemeinschaft / Tuexenia : Mitteilungen der Floristisch-Soziologischen Arbeitsgemeinschaft, Band 3 (1983)
:urn:nbn:de:hebis:30:3-326195
Licence (German):License LogoDeutsches Urheberrecht