Rank aggregation in the clustering context using the CE algorithm. Visual Representation of the aggregation results through the plot( ) function for the Clustering example using the CE algorithm and the Spearman footrule distance. The first plot in the top row shows the path of minimum values of the objective function over time. The global minimum is shown in the top right corner. The histogram of the objective function scores at the last iteration is displayed in the second plot. Looking at these two plots, one can get a general idea about the rate of convergence and the distribution of candidate lists at the last iteration. The third plot at the bottom shows the individual lists and the obtained solution along with optional average ranking.