Curated machine learning workflow suggestions and clustering techniques

Abstract

Techniques for providing recommended attribute value pairs for clustering a set of users are disclosed. The system may provide an administrator with attributes and attribute values prior to executing the clustering. The administrator may select some combinations of attribute value pairs, which the system may then use for execution of the clustering. Other techniques are disclosed for enabling an administrator to apply administrator-defined constraints to a list of recommended actions generated by a machine learning model. In some cases, the recommended actions may be specific to a particular group of users identified by execution of the administrator-informed clustering process.