Variable selection for clustering with Gaussian mixture models: state of the art

no code implementations • 31 Jan 2017 • Abdelghafour Talibi, Boujemâa Achchab, Rafik Lasri

The mixture models have become widely used in clustering, given its probabilistic framework in which its based, however, for modern databases that are characterized by their large size, these models behave disappointingly in setting out the model, making essential the selection of relevant variables for this type of clustering.

Clustering Variable Selection