The report suggests that globally no correlation lies between the datasets. Thus, if there is no correlation, the datasets are random at best globally. But, from Kernel Densities we see that certain local clusters were being formed. It is thus important to check whether there are outlier cluster being formed in these data for us to allow that there is some correlations in certain parts. The cluster analysis thus allows us to look for outlier (local I’s) in this data. This thus allows for looking at certain sets of clusters within the data.
After the cluster analysis proves that there are certain outliers in the data, the Low High outliers provide certain information to us as they overlap in regions of high Kernel Density as well.
The following are the statistics of the cluster analysis for kernel densities: