Cocktail clustering - a new hierarchical agglomerative algorithm for extracting species groups in vegetation databases

Aims: In one approach of formalized vegetation classification, species groups define a vegetation unit as a set of relevés, each of which possesses a minimum number of species from that group. Thus, species groups provide unequivocal rules for the assignment of individual vegetation records to veget...

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Veröffentlicht in:	Journal of vegetation science Jg. 27; H. 6; S. 1297 - 1307
1. Verfasser:	Bruelheide, Helge
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Blackwell Publishing Ltd 01.11.2016 John Wiley & Sons Ltd
Schlagworte:	algorithms Clustering algorithm Cocktail species groups data collection expert systems frequency distribution Large-scale classification systems phi coefficient probability vegetation Vegetation classification
ISSN:	1100-9233, 1654-1103
Online-Zugang:	Volltext
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