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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Bibliographic Details

Published in:	Journal of vegetation science Vol. 27; no. 6; pp. 1297 - 1307
Main Author:	Bruelheide, Helge
Format:	Journal Article
Language:	English
Published:	Blackwell Publishing Ltd 01.11.2016 John Wiley & Sons Ltd
Subjects:	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 Access:	Get full text
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