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While the first three types resemble the Esping-Andersen social-democratic, liberal, and conservative groups, respectively, the additional Southern type clusters countries with fragmented welfare benefits.
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Based on the phylogenetic network, clusters were defined and associations among clusters, country of isolation, and period of sample collection (before or after vaccine introduction) were determined using Fisher's exact test.
Clustering countries, ordering these clusters and indicating relative positions of countries according to their positions for entrepreneurial environment and new entrepreneurs' rates provide empirical ground for practical recommendations.
Clustering countries and ordering these clusters with respect to their nascent entrepreneurship rates harmonize data across countries and provide international comparisons that are beneficial in a global context.
Surprisingly, most of cluster countries have no good supply of water, hence addressing pure water for domestic consumption need to be future work of African countries.
It is tempting to try to characterize quantitatively the similarity between configurations of different countries and possibly use them to cluster countries according to them.
However, a single measure for a status is not constructed, since the concern is to give specific suggestion based on the stand of cluster countries for components.
On the other hand Non-hierarchical clustering techniques are used to cluster countries or identify elements of the cluster based on the the number of clusters obtained from hierarchical cluster analysis.
We cluster countries with respect to these indicators, order the clusters and indicate relative positions of countries according to their clusters' positions for entrepreneurial environment and new entrepreneurs' rates.
Limitation of this study is a comprehensive single measure for a status is not constructed, rather levelling is component-wise and specific suggestion based on the stand of cluster countries for a component variables is given.
This paper desired to construct measuring components by investigating a natural correlation exist between possible suggested variables, those can able to cluster countries based on socio-economic status and level the status for components.
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