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VISUAL TOOLS FOR INTERACTIVE CLUSTERING OF EU STATE MEMBERS VIA METABOLIC PATTERNS

By R. Siciliano and M. Staiano C. Iorio M. Aria

Abstract

The MAGIC project features a perspective rooted in bieconomics toward the accounting of technical and environmental resources required to assure the living standards of our societies. It aims at suitably tackling the nexus among energy, food and water to assess the sustainability as a complex predicate. Specifically the analysis of integrated accounting applied to UE state members through a systemic quantitative approach (MuSIASEM) allows to classify the metabolic patterns attached to whole societies as well as their single economic compartments. The finding that a standard classification approach by common clustering techniques lacks critical features required for the use cases in MAGIC motivated the development of an ad hoc visual tool (deployed as a R Shiny dashboard application). [This work is partly supported by the EU funded H2020 MAGIC project – G.A. n. 6896669

Topics: data clustering, gene expression patterns, interactive approach, multi-objective clustering, automated pattern recognition.
Publisher: Universitas Studiorum
Year: 2017
OAI identifier: oai:www.iris.unina.it:11588/683771
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