banknote

The data set contains six measurements made on 100 genuine and 100 counterfeit old-Swiss 1000-franc bank notes.

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

banknote function

A data frame with the following variables:
<dl>
<dt>Status</dt>
<dd>the status of the banknote: <code>genuine</code> or <code>counterfeit</code></dd><dt>Length</dt>
<dd>Length of bill (mm)</dd><dt>Left</dt>
<dd>Width of left edge (mm)</dd><dt>Right</dt>
<dd>Width of right edge (mm)</dd><dt>Bottom</dt>
<dd>Bottom margin width (mm)</dd><dt>Top</dt>
<dd>Top margin width (mm)</dd><dt>Diagonal</dt>
<dd>Length of diagonal (mm)</dd>
</dl>

Format

Swiss banknotes data — banknote

A data frame with the following variables:
<dl>
<dt>Status</dt>
<dd>the status of the banknote: <code>genuine</code> or <code>counterfeit</code></dd>

<dt>Length</dt>
<dd>Length of bill (mm)</dd>

<dt>Left</dt>
<dd>Width of left edge (mm)</dd>

<dt>Right</dt>
<dd>Width of right edge (mm)</dd>

<dt>Bottom</dt>
<dd>Bottom margin width (mm)</dd>

<dt>Top</dt>
<dd>Top margin width (mm)</dd>

<dt>Diagonal</dt>
<dd>Length of diagonal (mm)</dd>


</dl>

banknote: Swiss banknotes data

Description

Usage

Arguments

Format