Ysim1.5

<p>Cluster means are given by the 8 possible values of \((\pm 1.5,\pm 1.5, \pm 1.5)\) to which standard normal
noise was added. True clusters are given by <code>rep(1:8,each =50).</code></p>

 datasets

Implements methods for processing a sample of (hard)
clusterings, e.g. the MCMC output of a Bayesian clustering
model. Among them are methods that find a single best
clustering to represent the sample, which are based on the
posterior similarity matrix or a relabelling algorithm.

Arno Fritsch

mcclust

Process an MCMC Sample of Clusterings

Ysim1.5 function

<p>matrix with 400 rows and 3 columns.</p>

Ysim1.5: Simulated 3-dimensional Normal Data Containing 8 Clusters

Description

Usage

Arguments

Format

References