wreath

A dataset consisting of 1000 observations drawn from a 14-component 
normal mixture in which the covariances of the components have the
same size and shape but differin orientation.

datasets

Normal Mixture Modeling fitted via EM algorithm for
        Model-Based Clustering, Classification, and Density Estimation,
        including Bayesian regularization.

Luca Scrucca

mclust

Normal Mixture Modeling for Model-Based Clustering,
        Classification, and Density Estimation

wreath function

C. Fraley, A. E. Raftery and R. Wehrens (2005).
 Incermental model-based clustering for large datasets with small clusters.
 Journal of Computational and Graphical Statistics 14:1:18. C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012).
 mclust Version 4 for R: Normal Mixture Modeling for Model-Based 
 Clustering, Classification, and Density Estimation. 
 Technical Report No. 597, Department of Statistics, University of Washington.

wreath: Data Simulated from a 14-Component Mixture

Description

Usage

Arguments

References