OptimClass: Using species-to-cluster fidelity to determine the optimal partition in classification of ecological communities

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F10%3A00045964" target="_blank" >RIV/00216224:14310/10:00045964 - isvavai.cz</a>

Alternative codes found

RIV/67985939:_____/10:00364823

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

OptimClass: Using species-to-cluster fidelity to determine the optimal partition in classification of ecological communities

Original language description

Question: Community ecologists are often confronted with multiple possible partitions of a single set of records of species composition and/or abundances from several sites. Different methods of numerical classification produce different results, and thequestion is which of them, and how many clusters, should be selected for interpretation. We demonstrate a new method for identifying the optimal partition from a series of partitions of the same set of sites, based on number of species with high fidelity to clusters in a partition (faithful species). Methods: The new method, OptimClass, has two variants. OptimClass 1 searches the partition with the maximum number of faithful species across all clusters, while OptimClass 2 searches the partition with the maximum number of clusters that contain at least a preselected minimum number of faithful species. Faithful species are determined based on the P value of the Fisher's exact test, as a measure of fidelity.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

<a href="/en/project/GA206%2F09%2F0329" target="_blank" >GA206/09/0329: Vegetation of the Czech Republic: completion of the national survey of plant communities</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2010

Confidentiality

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

Name of the periodical

Journal of Vegetation Science

ISSN

1100-9233

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

13

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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