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 differ in orientation.   


datasets

Gaussian finite mixture models fitted via EM algorithm for model-based clustering, classification, and density estimation, including Bayesian regularization, dimension reduction for visualisation, and resampling-based inference.

Luca Scrucca

mclust

Gaussian Mixture Modelling 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.
  <em>Journal of Computational and Graphical Statistics 14:1:18</em>. 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