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EN
The authors present an example of the application of cluster analysis in commodity science. The aim of the analysis was to find, on the ground of chemical composition, groups of mineral and spring waters in which the objects of the same group exhibited the highest possible degree of similarity, while objects of different groups exhibited the lowest. Euclidean distance method was used to calculate the distance between the objects. The agglomerations were created by using the nearest neighbour algorithm.
EN
The article is seeking to carry out two tasks: formulation of principles of theoretical validation; and description of the strategy of concept mapping as a procedure applicable at the initial stages of theoretical validation. The author singles out such principles of theoretical validation: socio-cultural relevance; concept-based representativeness and significance; operationalization; temporal and socio-spatial orderliness; the complexity and cohesion of qualitative and quantitative approaches. The strategy of such a reconciliation of concepts is the structured process focused on the research conception or theme. It is a framework of producing conceptual map by the group of participants of the discussion. This method allows research participants to think more effectively as a collective subject without losing their individuality. The method is intended to particularize the basic idea of the prospective research and give it in detail. The concept mapping procedure is to be executed in six stages: preparation, statements (propositions) generation, statements (propositions) structuration, presentation of statements (propositions) on a conceptual map, interpretation, and application.
EN
Selecting the number of clusters to use is one of the biggest problems in cluster analysis. Numerous methods to help one to choose the best number of clusters have been published. Their effectiveness is usually evaluated on the basis of the results of clustering data sets, which contain a known number of groups. This paper presents methods to help determine the best number of clusters. They are presented and used in the analysis of a large data set: 5 cluster validity indexes (Caliński and Harabasz, Hubert and Levine, Dunn, Davies and Bouldin, Rousseeuw) and cross-validation – stability were measured by corrected Rand index. The usefulness of these techniques was then compared and evaluated.
EN
The paper relies on the newest set of quality of life dimensions defined by the European Commission, in order to achieve a two-fold purpose: to obtain a detailed image of European Union countries’ synchronization in terms of each quality of life dimension and to create a new, comprehensive metric of a country’s overall quality of life by aggregating the information provided by each specific dimension. Thus, our complementary research approach relies on: i) an in-depth exploratory analysis to assess European Union countries’ resemblance in terms of quality of life dimensions; ii) the development of a novel rating system, which serves as a barometer for the quality of life status and allows countries’ ranking. The findings revealed that increased resemblance between countries appeared for governance and basic rights indicators, productive activity and education indicators, while the highest dissimilarity was present for the living environment indicators and material living conditions indicators.
EN
The problem of equilibrium of demand and supply and existing disproportions on the regional consumer markets of Ukraine have been analyzed. Grouping of the regions has been carried out according to the indexes of development of internal consumer markets by the method of cluster analysis. The functional dependences between retail commodity turnover, industrial production and import of separate regions have been studied empirically
EN
The article includes the issues connected with community investment expenditures and their significant importance in local development creation. The theoretical assumptions concentrate on the investment-expenditures' essence, and, also related, the problem of expenditures in question usage as a measure of local development. The main purpose of the empirical analysis was to present the diversity of investment expenditures, both in the static and dynamic dimension way, as well on the multidimensional comparative analysis level. The static analysis results were the basis to diagnose the expenditures shaping in the respective communities in the Kedzierzyn-Kozle district. It also created the grounds for a dynamic analysis realization. The main goal of this part of the research was to identify the dynamics of changes in investment expenditures as the base which enables expenditures in question approximation for future periods. The empirical research completion was made by forming the multidimensional-communities' rating concerning investment expenditures.
EN
In the aftermath of the financial crisis the European financial system, particularly banks, still struggles to recover the lost public confidence. Ethical financial behaviour and customer centricity have gained weight, not only from the viewpoint of banking customers, but also from international organizations’ one. The paper aims at analysing the strengths and challenges associated with a different banking model, namely the cooperative banks’ one, in terms of its ability to maintain its genuine, cooperative principles. The paper provides a comprehensive insight into the intrinsic financial indicators and their evolution over time. The descriptive statistics analysis comprises the 23 member organizations of European Association of Co-operative Banks, which represent the cooperative banks operating in EU countries, to have a complete picture of their positioning, in terms of market share, liquidity, capitalization and contribution to the domestic financial depth. Secondly, we conducted an exploratory approach named Cluster Analysis, for two years of reference, in order to identify most resembling business models and gather them in the same cluster. The results emphasized which cooperative member organizations still follow the original cooperative business model and mission, and which of them have migrated towards a more commercial banking one.
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The article presents the diversification of households indebtedness level in the European Union countries. The outstanding credit to household disposable income ratio and the relation between a level of indebtedness and the problem of arrears in payment were analysed. The cluster analysis and correlation analysis methods were applied.
EN
Presented paper deals with the implementation of multidimensional statistical methods used to compare the financial health of selected global steel producers. We show the evolution of the steel industry in years 2003 – 2007 using factor analysis, multidimensional scaling and cluster analysis. Results of implemented multidimensional statistical methods are transparently and clearly presented with simple two-dimensional graphical output. The methodology for implementation of various analyses allows us to give satisfactory answers to many questions related to the identification of financial health, but also a business failure or bankruptcy prediction. The above method can be also used for the other industries based on available data.
EN
Eighty five European NUTS 2 regions of 6 European countries: Austria, Czech Republic, Germany, Hungary, Poland and Slovakia are considered in the paper. Attention is focused on the assessment of their competitiveness. Data were obtained from the Statistical Office of the European Communities. Four indicators of competitiveness (i.e. quality of labour forces and innovations, labour market, economic activity and infrastructure) were determined by means of the factor analysis. The factor scores of indicated factors in the regions were divided into groups by means of multivariate classification techniques (cluster analysis and classification trees). The outcome of the analysis is the classification of groups of regions with similar competitiveness factors.
EN
In the given article the research of tendencies and condition of the regional labour markets of Poland for the period of 1995-2004 is made. The models of the moving average (MA) with intervention for the analysis of dynamics of unemployment rate in all districts (voivodeships)-administrative areas of Poland were constructed and the analysis of unemployment rate jumps after joining EU was carried out. The received estimations of parameters for intervention show different reaction of the regional labour markets to the changes of external conditions. The model of dynamics of the gross domestic product share of voivodeship was constructed, the existence of the various fixed regional effects and influence of lagged values on gross domestic product of voivodeship was shown. On the basis of results of intervention parameters estimations and fixed share of the gross domestic product in voivodeship the dependence was constructed that reflected the influence of a regional fixed share of voivodeship GDP and a level of its competitiveness on size of unemployment rate jump in regions of Poland since the beginning of 2003. Thus, it is possible to show, that the higher the regional fixed share of voivodeship GDP the lower was unemployment rate jump. In opposite, the more advanced level of region competitiveness stimulated the increasing of unemployment rate jump. Further, on the basis of the econometric analysis the factors determining the potential of labour markets of Poland in a regional section were revealed, also the influence of employment structure and enterprises specialization on the formation of regional total product was shown, the structural changes of potential of the regional labour markets potential were investigated. The results of the given research show the opportunities of modern statistical methods use for substantiation of the evident problems, for development of the strategic plans for coordination measures in the labour market both for the country as a whole, and individual voivodeships.
EN
Culture is one of the main tools for developing regions and reducing regional disparities. It is a significant job creator; it participates in social cohesion representing a catalyst for economic growth. In practice, when boosting the potential of cultural and creative industries, we encounter an insufficiently developed approach to evaluating the initial conditions for the allocation of financial resources for its development. This paper’s objective is to identify, map, and analyse spatial concentration of cultural institutions in Slovakia. The intention of the analysis was the identification of regions and districts with the potential for full use of cultural capital as a tool for sustainable regional development as well as the setting of cultural policy. The cluster analysis pointed out significant differences in the representation of cultural institutions in individual regions and districts of Slovakia. The regions with the most desirable results (e.g., Bratislava, Trnava, or Nitra) have some common characteristics linked to the local context, such as historical development, good infrastructure, and concentration of educational institutions. The results also confirmed the assumption that within the regions, cultural institutions will be concentrated in larger district cities, specifically in the case of Bratislava even inside the city. From the cluster analysis it is possible to observe a “belt of districts” of Southern, Central, and Eastern Slovakia, which do not have sufficient cultural infrastructure. Since the process of shaping the supportive policy for cultural industries is now ongoing in Slovakia, we consider mapping the situation as one of the key elements in the policy-making process.
EN
According to modern historiography, around the year 1000, the northern Hungarian duchy with its capital in Nitra was divided into four parts which can be predicted with more or less certainty as direct descendants of tribes both within and beyond the Great Moravian Empire: Nitra, Hont, Váh, Borsod, and, in addition, in the very eastern part of today's Slovak Republic, there was a tribe which was not the part of Nitra Duchy. The consideration of tribes is important. A tribe speaks a dialect. However, the division of Slovakia was probably more complicated and on the basis of both genealogical and linguistic research we have to accept at least seven tribes and dialects in Slovakia around the year 1000. This division is supported also by the research of Proto-Slavic lexis in Old Slovak. The paper deals with hierarchical cluster analysis of this lexis and offers a solution to the genealogical problem of Slovak language. According to it, Old Slovak can be divided into eastern and west-central parts. The question naturally arises whether this approach can be regarded as methodologically correct.
EN
Establishing a company requires not only a viable opportunity, but also many other factors in the business environment, including the ability to overcome administrative barriers in regulatory and administrative systems, which is particularly important. Therefore, the main aim of this paper is to analyse and compare the administrative burdens when establishing a company in EU countries. To assess the actual differences and similarities in administrative burdens in the process of establishing a company, countries were grouped according to four indicators using a cluster analysis. To get insights into changes in a particular country and compare it with other EU countries in terms of administrative burdens for starting a company, data from 2004, 2007, and 2016 were used. The findings show that, despite intense pressure and extensive measures implemented in the EU to reduce administrative burdens, the differences among EU member countries are still remarkable and the relative performance of some countries worsens despite absolute lessening of burdens on the national level.
EN
In this paper, we have verified the convergence process in the EU in the period 2001 – 2013. The methodology of this paper is similar to that of Artis and Zhang (1997), Boreiko (2003), and Crowley (2013), who also focused on the European convergence process. This paper is based on the thesis that the convergence process is proven if the clusters are gathering in shorter squared Euclidean distances during the time, or, alternatively, if the distances between European Union economies and Germany are shorter. First, in order to perform the cluster analysis, the convergence criteria are identified (the choice of the criteria is based on optimum currency area). Second, with regards to the criteria, we conduct thirteen cluster analyses for every year of the period 2001 – 2013. From this perspective, we focus on the differences between the analyses' outputs during the time. According to our results, it is possible to draw the conclusion that the economic convergence process in the EU was not proven.
EN
The COVID-19 pandemic has significantly paralyzed tour operators’ activities around the world. The purpose of this paper is to analyse the state of tour operators using the example of Slovakia and to point out its specifics that may affect its recovery. This paper identifies active tour operators, recognizing them in terms of selected criteria and uses cluster analysis to reveal consistent groups of enterprises. It is based mostly on content analysis of relevant websites. The results show a moderate level of concentration that characterizes Slovak tour operators with four large enterprises generating more than a third of all revenues. A typical tour operator in Slovakia is an outbound micro-enterprise with 3S mass product which intervenes in the activities of travel agency. The authors estimate that due to the Covid-19 pandemic measures, many tour operators will disappear, transform into pure travel agency or leave mass holiday product.
EN
In the globalization transformation, one of the main determinants of modern economic growth is the level of its potential. Transformation of the social-economic order in the country, a crisis condition of the vast majority of domestic enterprises, a significant reduction of the revenue base of local budgets lead to the loss of the economic potential of the majority of regions of the country. A key role in this process has the financial potential as a determinant of the ability of the economic system to the financing of programmes and activities aimed at improving the socio-economic development of the country and its regions. This necessitates the study of the nature and characteristics of management of financial capacities at all levels. The work is devoted to the researching the potential of the regions as a factor of socio-economic development of the country. The author dedicated financial potential as a key component of the economic potential of the country while ensuring effective regional development management. Based on the analysis the comprehensive assessment of the financial potential has been considered and the integral indicator for each region of the country has been calculated. Management of financial potential based on the cluster analysis, that will increase efficiency of regional development policies.
EN
Part I of the work characterizes the data of human blood parameters. It describes examined biomedical data set and used multivariate statistical exploratory methods like PCA, FA, MDS and clusters analysis. To the factor analysis methods belongs the biplots visualization method. Biplots are simply the scatterplots with the superimposition of the variables. The work compares different other alternative multivariate exploratory data analysis procedures from methodological point of view. The described multivariate ordination methods are applied in the Part II of the work 'Application'.
EN
In this paper we investigate the position of agriculture in the economy of EU countries. Agriculture in the EU is highly heterogeneous – we characterise the sector by using the share of agriculture workers of total employment, the share of agriculture in total GDP, and the value added in agriculture per worker. To quantify the economic importance of agriculture per country for acquired specific condition, we construct the Agricultural Index-Total (AGRIT) and Agricultural Index (AGRI). We utilize the fuzzy set theory to contribute to the correct quantification of a country gap from the aimed-for condition of agricultural position. Using cluster analysis, we identify those countries with a similar position in agriculture. We test the efficacy of EU agrarian policy with the verification of sigma and beta convergence. The Eurostat database provides data for the evaluated 2005 – 2015 period.
EN
The paper aims to design a general assessment framework of working conditions in Europe and associated flexicurity measures, as main drivers of economic growth. We focused on a panel of EU-28 MS and on a sub-panel of 10 CEE countries. First, we conducted a complex cluster analysis based on the Ward method and Euclidian distance that allowed for a proper grouping of EU-28 MS according to the three job quality indices. Second, we configured two SEM models that capture the impact of working conditions and flexicurity measures on labour productivity and economic output. The results highlight that CEE countries have a less flexible working program compared to the other MS. The estimations for flexicurity and job quality interdependencies reveal important positive contributions of the working dimensions and external numerical flexibility credentials to labour productivity, GDP per capita, and a reduction of the poverty risk.
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