HDclassif: High Dimensional Supervised Classification and Clustering. Discriminant analysis and data clustering methods for high dimensional data, based on the assumption that high-dimensional data live in different subspaces with low dimensionality proposing a new parametrization of the Gaussian mixture model which combines the ideas of dimension reduction and constraints on the model.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Nia, Vahid Partovi; Davison, Anthony C.: A simple model-based approach to variable selection in classification and clustering (2015)
- Sylla, Seydou N.; Girard, Stéphane; Diongue, Abdou Ka; Diallo, Aldiouma; Sokhna, Cheikh: A classification method for binary predictors combining similarity measures and mixture models (2015)
- Fernández-Delgado, Manuel; Cernadas, Eva; Barro, Senén; Amorim, Dinani: Do we need hundreds of classifiers to solve real world classification problems? (2014)