Monday, March 21, 2011

Post meeting comment - Dhananjay Kulkarni

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?

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