Definitions from Wikipedia (Cluster-weighted modeling)

▸ noun:  In data mining, cluster-weighted modeling is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputs (independent variables) based on density estimation using a set of models (clusters) that are each notionally appropriate in a sub-region of the input space.


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