Evaluating the stability of the classification of community data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F11%3A00050300" target="_blank" >RIV/00216224:14310/11:00050300 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1111/j.1600-0587.2010.06599.x" target="_blank" >http://dx.doi.org/10.1111/j.1600-0587.2010.06599.x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/j.1600-0587.2010.06599.x" target="_blank" >10.1111/j.1600-0587.2010.06599.x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluating the stability of the classification of community data

Popis výsledku v původním jazyce

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 ameasure 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.

Název v anglickém jazyce

Evaluating the stability of the classification of community data

Popis výsledku anglicky

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 ameasure 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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EF - Botanika

OECD FORD obor

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Projekt

<a href="/cs/project/GA206%2F09%2F0329" target="_blank" >GA206/09/0329: Vegetace České republiky: dokončení národního přehledu rostlinných společenstev</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Ecography

ISSN

0906-7590

e-ISSN

—

Svazek periodika

34

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

7

Strana od-do

807-813

Kód UT WoS článku

000296972200011

EID výsledku v databázi Scopus

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