hierarchical clustering

Segmentation of International Markets of Saffron with Using Hierarchical Clustering TechniqueThe purpose of this study is segment of saffron product in different countries of the world on basis macro indicators selected in four demographic, economic, commercial and communication domains. research is a descriptive-correlational one and based on library studies. Selected communities include all UN member states and sample countries with populations above 500,000 or per capita income above $ 10,000 per year plus Getting into a strategic area constitutes a total of 143 countries used in the analysis. Hierarchical clustering method was used for data analysis by SPSS 25 software. The results show that there are eight clusters, with the highest number being in the second cluster with 100 countries and the lowest in the United States alone. Also, based on demographic results, the fifth, eighth and fourth clusters, which include China, India, the US, Brazil, Indonesia, Nigeria and Pakistan, can be attractive clusters in targeting saffron stakeholders in market.

Banks are endeavoring to gain more funds in a highly competitive environment. Given the higher costs of attracting new customers than retaining existing ones, most banks focus on maintaining their existing customers. Therefore, it is quite important for the banks to predict the customer churn in advance. In almost all related research works in banking, customers are divided into two types of static categories: “churners” and “loyal” customers. However, due to the nature of banking particularly in Iran, it is necessary to define churn in a dynamic manner in a variety of circumstances. In this study, the concept of state chain is introduced, which identifies changes in customers’ partial churn status over time. Using the sequence of chains and a combination of hierarchical clustering techniques as well as support vector machine, a model was developed to predict partial churn of bank customers. To construct a practical sample and to evaluate the prediction accuracy, 5 years of real European bank customers’ data as well as 3 years of customers’ data from three different Iranian banks were used. The results indicate a high level of prediction accuracy for the model in all 4 banks, particularly when longer sequences of states are used.

In recent years, cultural management has been considered as an appealing topic by organizational researchers. In other words, cultural capital involves development of constructive and permanent relationship among countries, nations and businesses. Present research aims to determine priorities of extra-organizational development based on cultural cluster analysis. For this purpose, hierarchy analysis process and hierarchy clustering tools have been utilized. Research data has been gathered through polling from professors of Tehran university management faculty with hierarchical analysis process and also secondary data related to value dimensions is prepared from club studies. Results indicated that cultural values of power distance, performalism and group (family) collectivism have the highest importance in cluster determination. In addition, on the contrary of results of former studies, clustering results was confirmatory to cultural convergence among Iran, Turkey and Morocco. Although, from a long time ago, cultural values are supposed to be factors in fortifying and developing relationships between governments, nations and businesses, In international relations other impressive factors should be considered such as political factors, economical factors, technology factors and …