Dimensions in the PAM method I am just starting my adventure with data analysis. And I have a problem with understanding the results obtained in the PAM method. Could someone explain to me in a simple way what are these two dimensions Dim1 and Dim2 obtained in this method?

Above I present an example visualization of the results of the PAM method in which my data has been divided into 5 clusters. I understand what mediodes are but unfortunately I don't understand what these Dim1 and Dim2 are.

The documentation for fviz_cluster says:

Observations are represented by points in the plot, using principal
components if ncol(data) > 2.

so, presumably, you had more than two dimensions.  In order to make a two dimensional graph, fviz_cluster used principal components analysis and used the first two principal components to display your data. Notice that the axes are labeled Dim1 (62%) and Dim2 (7%). This means that the first principal component accounts for 62% of the variation in the data and component 2 accounts for an additional 7% of the variation.
