Evidence map›Paper›PMID 35329047›Full record

ArticleInternational journal of environmental research and public health2022

Clustering of Small Territories Based on Axes of Inequality.

Xavier Perafita, Marc Saez

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xavier PerafitaObservatori-Organisme Autònom de Salut Pública de la Diputació de Girona (Dipsalut), 17003 Girona, Spain.
Marc SaezResearch Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain.ORCID 0000-0003-1882-0157

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the present paper, we conduct a study before creating an e-cohort for the design of the sample. This e-cohort had to enable the effective representation of the province of Girona to facilitate its study according to the axes of inequality.

methodsThe territory under study is divided by municipalities, considering these different axes. The study consists of a comparison of 14 clustering algorithms, together with 3 data sets of municipal information to detect the grouping that was the most consistent. Prior to carrying out the clustering, a variable selection process was performed to discard those that were not useful. The comparison was carried out following two axes: results and graphical representation.

resultsThe intra-cluster results were also analyzed to observe the coherence of the grouping. Finally, we study the probability of belonging to a cluster, such as the one containing the county capital.

conclusionsThis clustering can be the basis for working with a sample that is significant and representative of the territory.

Indexed as

AlgorithmsCluster AnalysisHumansProbabilitybig dataclassifiersclusteringe-cohorthierarchical k-meansinequalitiesmachine learning

Identifiers

PMID35329047
PMCPMC8955561

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.