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Cluster Analysis – Symbolic vs. Classical Data

100%
Wilk J., Pełka M., Wroclaw Univeristy of Economics C. o. E. a. C. S., Wroclaw Univeristy of Economics C. o. E. a. C. S.
Acta Universitatis Lodziensis. Folia Oeconomica
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2013
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vol. 286
EN
Clustering problem is addressed in many contexts and disciplines. Although there are numerous studies on cluster analysis, there is a lack of a review to complete and systematize knowledge of research approach depending on data form. The paper presents a concept of clustering, classifications of cluster analysis methods, comparison of numerical and symbolic taxonomy, specificity of symbolic data as regards classical data, methods of numerical and symbolic data analysis applicable in clustering procedure.
PL
Celem artykułu jest usystematyzowanie wiedzy na temat analizy skupień w zależności od rodzaju danych empirycznych opisujących problem badawczy. W artykule zaprezentowano cele analizy skupień, dokonano klasyfikacji metod analizy skupień, porównano metody taksonomii numerycznej i symbolicznej. Omówiono także specyfikę danych symbolicznych w odniesieniu do danych w ujęciu klasycznym oraz ich źródła w badaniach ekonomicznych. Wskazano metody statystyczne, jakie mają zastosowanie w analizie danych klasycznych i symbolicznych na każdym etapie procedury klasyfikacji.
2
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ORDERING AND CLASSIFICATION OF THE SILESIAN VOIVODESHIP REGION WITH RESPECT TO A HEALTH CARE SYSTEM ACTIVITY

100%
Nieszporska S.
Metody Ilościowe w Badaniach Ekonomicznych
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2013
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vol. 14
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issue 2
129-138
EN
The health care system in Poland or any other country should ensure an equal and unrestricted availability of the health service to its population. This idea, though being noble and harmonious with the country’s constitution, seems to differentiate small administrative regions of the Silesian voivodeship. Therefore the presented paper is an attempt to estimate and analyse conditions of the health care system activity in this region. Those regions were systematized based on a structure of health care system. Also, a homogeneous groups of regions were created. The analysis is based on the cluster analysis.
3
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The EU Member States' national healthcare systems compared using the single synthetic index

86%
Jankowiak M.
Economics and Business Review
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2021
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vol. 7
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issue 2
37-49
EN
Implementation of health protection requires effective quantitative methods of its evaluation. Assessment could be based on usage of synthetic indices which aggregate couple input variables into a single measure. In this paper, the exploitation of a new synthetic index (by the author called HAI-the Healthcare Aggregated Index) was proposed with the aim of the assessment and long-term interstate comparisons of healthcare systems of the EU countries. Using taxonomic methodology, HAI involves three variables: the number of hospital beds, the number of physicians and the public expenditures on healthcare. HAI utilisation includes dynamic interstate comparisons of national healthcare systems of the different exploitations of human, physical and financial resources. The HAI application to assessment of twenty European Union Member States' healthcare systems revealed an effect of substitution between health care resources within the slight international diefferntiation of the health protection level and the minor dynamic of changes in time series.
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