banknote

Data from Tables 1.1 and 1.2 (pp. 5-8) of Flury and Riedwyl
 (1988). There are six measurements made on 200 Swiss
 banknotes (the old-Swiss 1000-franc). The banknotes belong to two
 classes of equal size: genuine and counterfeit.

datasets

Performs tuning of clustering models, methods and algorithms including the problem of determining an appropriate number of clusters. Validation of cluster analysis results is performed via quadratic scoring using resampling methods, as in Coraggio, L. and Coretto, P. (2023) <doi:10.1016/j.jmva.2023.105181>.

Luca Coraggio

qcluster

Clustering via Quadratic Scoring

Pietro Coretto

banknote function

A <code>data.frame</code> of dimension <code>200x7</code> with the following variables:
<dl>
 <dt>Class</dt>
<dd>a <code>factor</code> with classes: <code>genuine</code>, <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 <code>data.frame</code> of dimension <code>200x7</code> with the following variables:
<dl>
 <dt>Class</dt>
<dd>a <code>factor</code> with classes: <code>genuine</code>, <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