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Evaluating the stability of the classification of community data

Název česky Hodnocení stability klasifikace dat o společenstvech
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TICHÝ Lubomír CHYTRÝ Milan ŠMARDA Petr

Rok publikování 2011
Druh Článek v odborném periodiku
Časopis / Zdroj Ecography
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www Fulltext on Wiley Online Library
Doi http://dx.doi.org/10.1111/j.1600-0587.2010.06599.x
Obor Botanika
Klíčová slova Clustering methods; Vegetation classification strategies; Validation; Bootstrap; Algorithm; Fidelity
Popis We propose a method for a posteriori evaluation of classification stability which compares the classification of sites in the original data set (a matrix of species by sites) with classifications of subsets of its sites created by without-replacement bootstrap resampling. Site assignments to clusters of the original classification and to clusters of the classification of each subset are compared using Goodman-Kruskal's lambda index. Many resampled subsets are classified and the mean of lambda values calculated for the classifications of these subsets is used as an estimation of classification stability. Furthermore, the mean of the lambda values based on different resampled subsets, calculated for each site of the data set separately, can be used as a measure of the influence of particular sites on classification stability. This method was tested on several artificial data sets classified by commonly used clustering methods and on a real data set of forest vegetation plots.
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