Schmidtlein S, Tichy L, Feilhauer H, Faude U (2010)
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2010
Publisher: Wiley-Blackwell
Book Volume: 21
Pages Range: 1162-1171
Journal Issue: 6
DOI: 10.1111/j.1654-1103.2010.01221.x
Aim: Introduction of a novel approach to the classification of vegetation data (species by plot matrices). This approach copes with a large amount of noise, groups irregularly shaped in attribute space and species turnover within groups.Method: The proposed algorithm (Isopam) is based on the classification of ordination scores from isometric feature mapping. Ordination and classification are repeated in a search for either high overall fidelity of species to groups of sites, or high quantity and quality of indicator species for groups of sites. The classification is performed either as a hierarchical, divisive method or as non-hierarchical partitioning. In divisive clustering, resulting groups are subdivided until a stopping criterion is met. Isopam was tested on 20 real-world data sets. The resulting classifications were compared with solutions from eight widely used clustering algorithms.Results: When looking at the significance of species fidelities to groups of sites, and at quantity and quality of indicator species, Isopam often achieved high ranks as compared with other algorithms. © 2010 International Association for Vegetation Science.
APA:
Schmidtlein, S., Tichy, L., Feilhauer, H., & Faude, U. (2010). A brute-force approach to vegetation classification. Journal of Vegetation Science, 21(6), 1162-1171. https://dx.doi.org/10.1111/j.1654-1103.2010.01221.x
MLA:
Schmidtlein, Sebastian, et al. "A brute-force approach to vegetation classification." Journal of Vegetation Science 21.6 (2010): 1162-1171.
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