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@article{860362,
author = {Roleček, Jan and Tichý, Lubomír and Zelený, David and Chytrý, Milan},
article_location = {Uppsala},
article_number = {4},
keywords = {Compositional data analysis; Correspondence analysis; Dataset heterogeneity; Dissimilarity measures; Divisive classification; Heterogeneity measures; Hierarchical classification; Numerical classification; Plant community; Vegetation classification},
language = {eng},
issn = {1100-9233},
journal = {Journal of Vegetation Science},
title = {Modified TWINSPAN classification in which the hierarchy respects cluster heterogeneity},
url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2009.01062.x/abstract},
volume = {20},
year = {2009}
}
TY - JOUR
ID - 860362
AU - Roleček, Jan - Tichý, Lubomír - Zelený, David - Chytrý, Milan
PY - 2009
TI - Modified TWINSPAN classification in which the hierarchy respects cluster heterogeneity
JF - Journal of Vegetation Science
VL - 20
IS - 4
SP - 596-602
EP - 596-602
PB - Opulus Press
SN - 11009233
KW - Compositional data analysis
KW - Correspondence analysis
KW - Dataset heterogeneity
KW - Dissimilarity measures
KW - Divisive classification
KW - Heterogeneity measures
KW - Hierarchical classification
KW - Numerical classification
KW - Plant community
KW - Vegetation classification
UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1654-1103.2009.01062.x/abstract
N2 - Aim To propose a modification of the TWINSPAN algorithm that enables production of divisive classifications that better respect the structure of the data. Methods The proposed modification combines the classical TWINSPAN algorithm with analysis of heterogeneity of the clusters prior to each division. Four different heterogeneity measures are involved: Whittaker's beta, total inertia, average S circle divide rensen dissimilarity and average Jaccard dissimilarity. Their performance was evaluated using empirical vegetation datasets with different numbers of plots and different levels of heterogeneity. Results While the classical TWINSPAN algorithm divides each cluster coming from the previous division step, the modified algorithm divides only the most heterogeneous cluster in each step. The four tested heterogeneity measures may produce identical or very similar results. However, average Jaccard and S circle divide rensen dissimilarities may reach extreme values in clusters of small size and may produce classifications with a highly unbalanced cluster size. Conclusions The proposed modification does not alter the logic of the TWINSPAN classification, but it may change the hierarchy of divisions in the final classification. Thus, unsubstantiated divisions of homogeneous clusters are prevented, and classifications with any number of terminal clusters can be created, which increases the flexibility of TWINSPAN.
ER -
ROLEČEK, Jan, Lubomír TICHÝ, David ZELENÝ and Milan CHYTRÝ. Modified TWINSPAN classification in which the hierarchy respects cluster heterogeneity. \textit{Journal of Vegetation Science}. Uppsala: Opulus Press, 2009, vol.~20, No~4, p.~596-602. ISSN~1100-9233.
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