Agglomerative clustering with hclust()
In what follows, we are going to explore the use of agglomerative clustering with
hclust() using numerical and binary data in two datasets.
Exploring the results of votes in Switzerland
In this section, we will examine the case of another dataset. This dataset represents the percentage of acceptance of the themes of federal (national) voting objects in Switzerland in 2001. The first rows of data are in the following table. The rows represent the cantons (the Swiss name for states). The columns (except the first) represent the topic of the voting. The values are the percentage of acceptance of the topic of voting. The data has been retrieved from the Swiss Statistics Office (www.bfs.admin.ch) and are provided ...