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Our research studies the economic background of recovery and catching‑up after the global financial and economic crisis, comparing the case study areas of Cluj‑Napoca in Romania and Pécs in Hungary. We use explorative statistical data analysis to describe the post‑crisis regional economic...
Persistent link: https://www.econbiz.de/10013407458
¶tigen. Die erste Typisierung mithilfe einer Clusteranalyse klassifizierte die NUTS-3-Regionen der 10 mittel- und osteuropà… considered homogeneous and not all of them need the same developmental measures. The first typology classified all NUTS-3 regions … measures in CEE. ZUSAMMENFASSUNG TYPISIERUNG LÃNDLICHER RÃUME IN DEN NEUEN EU-MITGLIEDSTAATEN MITTEL- UND OSTEUROPAS Là…
Persistent link: https://www.econbiz.de/10005038556
Analysis of livelihood strategies can aid to understand and resolve problems associated with vulnerability to poverty and food security. This paper aims to identify and describe the changes in rural livelihood activities by using household data for 2013 and 2014 collected in Stung Treng,...
Persistent link: https://www.econbiz.de/10011454107
The overall objective of this discussion paper is to advance the knowledge on rural livelihoods in Stung Treng, Cambodia. In a cluster analysis, five clusters with very different livelihood strategies are identified based on a sample of 600 rural households. Despite the fact that nearly all...
Persistent link: https://www.econbiz.de/10010494949
Our paper focuses on Solidarity Purchase Group (SPG) participants located in a highly urbanized area, with the aim to investigate the main motivations underlining their participation in a SPG and provide a characterization of them. To this end, we carried out a survey of 795 participants...
Persistent link: https://www.econbiz.de/10012149140
In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...
Persistent link: https://www.econbiz.de/10011604994
In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...
Persistent link: https://www.econbiz.de/10003794031
Using the statistical technique of fuzzy clustering, regimes of inflation and unemployment are explored for the United States, the United Kingdom and Germany between 1871 and 2009. We identify for each country three distinct regimes in inflation/unemployment space. There is considerable...
Persistent link: https://www.econbiz.de/10003883795
Using the statistical technique of fuzzy clustering, regimes of inflation and unemployment are explored for the United States, the United Kingdom and Germany between 1871 and 2009. We identify for each country three distinct regimes in inflation/unemployment space. There is considerable...
Persistent link: https://www.econbiz.de/10013135078
In machine learning and data science literature, clustering is the task of dividing the observations (data points) into several categories in such a way that data points falling into one group are being dissimilar than the data points falling to the other groups such that the variation within a...
Persistent link: https://www.econbiz.de/10012939999