Active learning metamodel - multiple enrichment

Good Day All,

Thanks for the amazing software and community. Please could someone explain to me the concept of multiple enrichment of experimental design lets say using a U learning function and the k-means clustering approach talked about in uqlab. Appreciate any clear explanation of the process - lets say you were to use three enrichment (k=3). I just want to understand the thinking behind the process better.