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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.
Author: | H. van Groenewoud |
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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): | Deutsches Urheberrecht |