Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering

Ecological Modelling

Volumn 220, Issue 6, 2009, Pages 821-829

  Watts, Michael J ^a   Worner, S P ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b LINCOLN UNIVERSITY   (New Zealand)

Author keywords

Artificial neural networks; Data clustering; Invasive insect pests; k means clustering; Self organising map

Indexed keywords

BACKPROPAGATION; CLUSTER ANALYSIS; NEURAL NETWORKS; RISK PERCEPTION; STRENGTH OF MATERIALS; WATER SUPPLY SYSTEMS;

ARTIFICIAL NEURAL NETWORKS; DATA CLUSTERING; INVASIVE INSECT PESTS; K-MEANS CLUSTERING; SELF-ORGANISING MAP;

CLUSTERING ALGORITHMS;

ALGORITHM; DATA ASSIMILATION; INVASIVE SPECIES; PEST SPECIES; SELF ORGANIZATION;

HEXAPODA;

EID: 60649120714     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2008.12.016     Document Type: Article

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