Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering

Worner, Susan; Gevrey, Muriel; Eschen, René; Kenis, Marc; Paini, Dean Ronald; Singh, Sunil; Watts, Michael F.; Suiter, Karl

doi:10.3897/neobiota.18.4042

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Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering

Author(s): Susan Worner , Muriel Gevrey , René Eschen , Marc Kenis , Dean Paini , Sunil Singh , Michael Watts , Karl Suiter

Publication date Created: September 13 2013

Publication date (Electronic): September 13 2013

Journal: NeoBiota

Publisher: Pensoft Publishers

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Cluster analysis and mathematical programming

Pierre Hansen, Brigitte Jaumard (1997)

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Self-Organizing Maps applied to ecological sciences

Tae-Soo Chon (2011)

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Modelling global insect pest species assemblages to determine risk of invasion: Modelling risk of pest invasion using ANN

S. P. WORNER, MURIEL GEVREY (2006)

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Title: NeoBiota

Abbreviated Title: NB

Publisher: Pensoft Publishers

ISSN (Electronic): 1314-2488

ISSN (Print): 1619-0033

Publication date Created: September 13 2013

Publication date (Electronic): September 13 2013

Volume: 18

Pages: 83-102

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DOI: 10.3897/neobiota.18.4042

SO-VID: 94a9f490-2b89-476c-ace3-ceea4f529f9d

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http://creativecommons.org/licenses/by/3.0/

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Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering

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Pensoft Biodiversity

Most cited references 13

Cluster analysis and mathematical programming

Self-Organizing Maps applied to ecological sciences

Modelling global insect pest species assemblages to determine risk of invasion: Modelling risk of pest invasion using ANN

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