wreath

<p>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.</p>

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

Chris Fraley

Adrian E. Raftery

Thomas Brendan Murphy

Michael Fop

wreath function

Data Simulated from a 14-Component Mixture — wreath

Data Simulated from a 14-Component Mixture

wreath: Data Simulated from a 14-Component Mixture

Description

Usage

Arguments

References