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Image processing / Computer simulation / Scientific modeling / Virtual reality / Pixel / K-means clustering / Global climate model / Standard deviation / Cluster analysis / Statistics / Computational science / Data analysis


Geosci. Model Dev., 5, 1245–1257, 2012 www.geosci-model-dev.netdoi:gmd © Author(sCC Attribution 3.0 License. Geoscientific
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Document Date: 2014-12-04 04:10:56


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City

Engadin / /

Company

Pearson / SAFRAN / Micromet / /

Country

Switzerland / /

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Event

Environmental Issue / /

Facility

University of Zurich / /

IndustryTerm

surface energy fluxes / climate systems / unsupervised learning algorithm / local energy / energy fluxes / pre-processor / mountain systems / surface energy balance / coupled energy / fuzzy membership algorithm / possible applications / post-processor / energy / /

NaturalFeature

Introduction Mountain regions / /

Organization

European Geosciences Union / University of Zurich / Department of Geography / /

Person

Jan Mar / Dev / Van Genuchten / Statistical / /

/

Position

pixel Output Land surface model / Model / Geoscientific Model Development TopoSUB / /

Product

Pentax K-x Digital Camera / /

ProgrammingLanguage

C / /

Technology

radiation / K-means algorithm / fuzzy membership algorithm / K-means clustering algorithm / clustering algorithm / unsupervised learning algorithm / simulation / PDF / formed using the K-means clustering algorithm / /

URL

www.geosci-model-dev.net/5/1245/2012 / /

SocialTag