swissbank

Six variables measured on 100 genuine and 100 counterfeit old Swiss 1000-franc bank notes (Flury and Riedwyl, 1988).

Provides functions for robust trimmed clustering. The methods are described in Garcia-Escudero (2008) <doi:10.1214/07-AOS515>, Fritz et al. (2012) <doi:10.18637/jss.v047.i12> and others.

Valentin Todorov

tclust

Robust Trimmed Clustering

swissbank function

<dl class="dl-horizontal">
<dt><code>Length</code></dt><dd>Length of the bank note</dd>
<dt><code>Ht_Left</code></dt><dd>Height of the bank note, measured on the left</dd>
<dt><code>Ht_Right</code></dt><dd>Height of the bank note, measured on the right</dd>
<dt><code>IF_Lower</code></dt><dd>Distance of inner frame to the lower border</dd>
<dt><code>IF_Upper</code></dt><dd>Distance of inner frame to the upper border</dd>
<dt><code>Diagonal</code></dt><dd>Length of the diagonal</dd>
</dl>

Format

SwissBankNotes Data — swissbank

<dl class='dl-horizontal'>
<dt><code>Length</code></dt><dd>Length of the bank note</dd>
<dt><code>Ht_Left</code></dt><dd>Height of the bank note, measured on the left</dd>
<dt><code>Ht_Right</code></dt><dd>Height of the bank note, measured on the right</dd>
<dt><code>IF_Lower</code></dt><dd>Distance of inner frame to the lower border</dd>
<dt><code>IF_Upper</code></dt><dd>Distance of inner frame to the upper border</dd>
<dt><code>Diagonal</code></dt><dd>Length of the diagonal</dd>
</dl>

swissbank: SwissBankNotes Data

Description

Usage

Arguments

Format

Details