TY  - JOUR
A1  - Groenewoud, H. van
T1  - Cluster analysis of simulated vegetation data
T2  - Tuexenia : Mitteilungen der Floristisch-Soziologischen Arbeitsgemeinschaft
N2  - 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.
Y1  - 2015
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/36783
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-367834
SN  - 0722-494X
VL  - 3
SP  - 523
EP  - 528
ER  -