Based on the concept of creating a metric space of clusterings, I wondered if there might be a way to use the motivation for adaboost - an ensemble of multiple weak learners can be used to create a strong learner.
What if the dimensions of this metric space is a set of weak learners, and the human observation is used to generate weights that create a decent clustering application? I don't have a particular example or application to illustrate this point, but perhaps somebody might want to help me out over here?
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.