In this recipe, we draw a bivariate cluster plot to show how data is clustered. To draw a bivariate cluster plot, we first need to install the cluster package and load it into R. We then use the clusplot function to draw a bivariate cluster plot from a customer dataset. In the clustplot function, we can set shade to TRUE and color to TRUE to display a cluster with colors and shades. As per the preceding figure (step 2), we found that the bivariate uses two components, which explains 85.01 percent of point variability, as the x-axis and y-axis. The data points are then scattered on the plot in accordance with component 1 and component 2. Data within the same cluster is circled in the same color and shade.

Besides drawing the four clusters in a single plot, you can use rect to add a rectangle around a specific area within a given x-axis and y-axis range. You can then zoom into the plot to examine the data within each cluster by using xlim and ylim in the clusplot function.