Skip to search formSkip to main contentSkip to account menu

Cluster-weighted modeling

In data mining, cluster-weighted modeling (CWM) is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputs… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Cluster-Weighted Modeling (CWM) is a flexible mixture approach for modeling the joint probability of data coming from a… 
2010
2010
We consider Cluster-Weighted Modeling in order to model functional dependence between some input and output variables  based on… 
2010
2010
_____________________________________________________________________________________________ 254 12Proceedings of the 12-th… 
2009
2009
  • Simona MinottiGiorgio A. Spedicato
  • 2009
  • Corpus ID: 63114193
Cluster-Weighted Modeling (CWM) is a flexible statistical framework for modeling local relationships in heterogeneous populations… 
2001
2001
Cluster-weighted modeling, a mixture density estimator around local models, is presented as a framework for the analysis…