A simple way to identify outliers and focus on clusters

A simple way to identify outliers is to apply a 2D dimension reduction and click on the outliers to retrieve the original record as follow.

This feature is now integrated by default in mlboost. 

Now, can you zoom/focus on specific clusters? Now you can if some tagged data by excluding classes (-e) or limiting classes to specific ones (-o) like this. 

Don't have to much fun and don't forget you can specify the dimension reduction transformation used.