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dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clusteringMapping the local variability of Natura 2000 habitats with remote sensingMapping plant strategy types using remote sensingFormalized classification of European fen vegetation at the alliance levelA comparative framework for broad-scale plot-based vegetation classificationSemi-supervised classification of vegetation: preserving the good old units and searching for new onesClassification of Taiwan forest vegetationVegetation survey: a new focus for Applied Vegetation Science
P2860
Q34486814-FF86CEDB-450A-46D6-8106-A6D85254CC67Q56962940-E820F7FA-8F62-4347-902D-CE001B57E37AQ56962995-4189E0C4-3FE6-4239-A010-CFAF35EE1853Q57022806-5EC0CAA2-734B-4634-B85B-5B5A50B66B17Q57034941-34A5E268-75CB-45F1-A521-3D816738990EQ57035055-EA71CE73-DFA2-4E35-9BC5-7FA88CFD997AQ57035087-7E34082B-3489-4CF2-8C4F-E6529C522CFAQ57035205-8EFF99C3-B713-470E-ABE7-151722ED8157
P2860
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в жовтні 2010
@uk
name
A brute-force approach to vegetation classification
@en
A brute-force approach to vegetation classification
@nl
type
label
A brute-force approach to vegetation classification
@en
A brute-force approach to vegetation classification
@nl
prefLabel
A brute-force approach to vegetation classification
@en
A brute-force approach to vegetation classification
@nl
P1476
A brute-force approach to vegetation classification
@en
P2093
Sebastian Schmidtlein
Ulrike Faude
P304
P356
10.1111/J.1654-1103.2010.01221.X
P577
2010-10-12T00:00:00Z