swissbank

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

datasets

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>,
Garcia-Escudero et al. (2011) <doi:10.1007/s11222-010-9194-z> and others.

Valentin Todorov

tclust

Robust Trimmed Clustering

Luis Angel García Escudero

Agustín Mayo Iscar

Javier Crespo Guerrero

Heinrich Fritz

swissbank function

A data frame containing 200 observations in 6 variables. 
The variables are as follows:
<ul>
<li><code>Length</code> Length of the bank note</li>
<li><code>Ht_Left</code> Height of the bank note, measured on the left</li>
<li><code>Ht_Right</code> Height of the bank note, measured on the right</li>
<li><code>IF_Lower</code> Distance of inner frame to the lower border</li>
<li><code>IF_Upper</code> Distance of inner frame to the upper border</li>
<li><code>Diagonal</code> Length of the diagonal</li>
</ul>

Format

Swiss banknotes data — swissbank

Swiss banknotes data

swissbank: Swiss banknotes data

Description

Usage

Arguments

Format

Details