Visualization of high-dimensional clinically acquired geographic data using the self-organizing maps

Journal of Environmental Informatics

Volumn 13, Issue 1, 2009, Pages 33-44

  Oyana, T J ^a  

^a SOUTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

Clustering; Data exploration; Disease; Geocomputations; GIS; Pattern recognition; Self organizing maps; Visualization

Indexed keywords

ALGORITHM; CLUSTER ANALYSIS; DATA SET; DISEASE; ENVIRONMENTAL FACTOR; GIS; PATTERN RECOGNITION; SPATIAL DISTRIBUTION; VISUALIZATION;

EID: 62249142073     PISSN: 17262135     EISSN: 16848799     Source Type: Journal    
DOI: 10.3808/jei.200900138     Document Type: Article

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