This thesis discusses the possibilities of using cluster analysis methods for customer segmentation. The theoretical part is focused on description of selected methods of cluster analysis and explanation of other concepts related to this topic, such as CRM, segmentation and targeted communication. In the practical part are applied cluster analysis methods to real data unnamed company with the aim of creating a default substrates useful for planning and implementation of targeted communication. For the main calculations is used program R, for data and output editing is used MS Excel. At the end of the work are evaluated applied methods and summarized lessons learned from the cluster analysis. For a company were created and characterized databases which could be useful for marketing decisions.

The aim of my thesis is to verify efficiency of different statistical methods in segmentation analysis of marketing data. I decided to carry out my study on the organic food market. The theoretical part defines segmentation from the marketing point of view, followed with statistical insight into this topic. The theory is then applied to marketing study in practical part. Finally, concrete recommendations for organic food marketers, producers and distributors are offered, which could help them to increase their revenues and to acquire a bigger market share.

Cílem diplomové práce je odhalit segmenty na českém trhu barev a laků. Práce obsahuje charakteristiku produktů a jednotlivých tržních subjektů. Data jsou zpracována na základě primárních dat (dotazníkové šetření) a sekundárních dat (obsahová analýza). Práce obsahuje analýzu 1. stupně, analýzu 2. stupně a shlukovou analýzu. Výsledkem je charakteristika jednotlivých segmentů včetně marketingového doporučení.

The importance of body image in marketing comunications. The comparison of ideal and real beauty measures using clustering method and MML-TGI data.

Riders are growing more important as a part of insurance markets. The aim of this thesis is to introduce riders offered by a chosen insurance company in the Czech Republic. The next part is dedicated to the study of a structure of arranged riders in one year. A characteristic of riders and main covers a, which affect the number of arranged riders, are specified by using statistical methods. In the last part, clients are classified based on their owned riders by using cluster analysis. This thesis contains some recommenddations to create new riders.

This diploma work describes the classification of the member states of the European Union according to the demographic indicators. It evaluates development in the individual states by absolute demographic indicators too. In the year 2008 less children were born and less people were died in the most of the member states than the year 1993. The hope of the end of life grows up in all contries. Relative demographic indicators are used in the cluster analysis for diversification of rhe states into certain groups in accordance with their similarity. Two methods are used in this work --of the farthest neighbour and the Ward method (the hierarchical clustering method), the both with the Euclid distance. The hierarchical method of the farthest neighbour divided fifteen states into the four clusters in 1995, twenty-five states into the six clusters in 2004 and twenty-seven states into the six clusters in 2007. The Ward method divided these states into the three clusters in 1995, into the six clusters in 2004 and into the three clusters in 2007.

The aim of the thesis is to make segmentation of leisure activities market, to uncover important customer segments and describe the differences in their behavior and feature. Is used the knowledge of social sciences, particularly economics and sociology, with the help of which is described relationship of lifestyle and consumer behavior. The data come from research focused on consumer and media behavior and its relation to population lifestyle. Data were subjected to factor and cluster analysis.

My thesis is focused on the presentation of a scoring model for companies in chemical industry with use of cluster analysis methods. There is a description of financial risks, financial analysis indicators and models which are used to evaluate financial risks of a company. There is also a mathematical description of hierarchical cluster methods.

The Diploma thesis deals with the current situation of bancassurance in Europe. The first part focuses on the theoretical concept of bancassurance and its historical and regulatory context. In the next section SWOT analysis captures the potential benefits and difficulties of this distribution channel, the following are forms of cooperation of financial institution in bancassurance and bancassurance products. The third part through cluster analysis categorizes the situation of distribution channel across EU countries. At the end, the situation is evaluated by other research papers and articles and the conclusions are compared with the results of this thesis. There are also recommendations for banks and insurance companies regarding bancassurance channel.

This diploma thesis focuses on income inequality and its impact on economic development in the EU member states. The literature overview deals with description of income inequality and identifies its causes, consequences, methods of measurement and possible solutions. The relationship between income inequality and economic growth is examined through panel data analysis and cluster analysis.