The Market Segmentation with using Cluster Analysis Methods

This diploma work is called ``The Market Segmentation with using Cluster Analysis Methods``. This segmentation is made in the marketplace of tourism. The cluster analysis methods are classified into hierarchical and no hierarchical ones. The hierarchical methods are divided into the following methods: The nearest neighbour metod, The furthest neighbour metod, The weighted group metod. MacQueen K-means and Wishart methods are no hierarchical methods. In the work we can find the division of one informant into 5 groups according to two methods ( The furthest neighbour metod and MacQueen K-means). Each group has its own representative which consists of the most frequent answers. This information is exploited at sorting clients in turism