animals

<p>This data set considers 6 binary attributes for 20 animals.</p>

datasets

Methods for Cluster analysis.  Much extended the original from
Peter Rousseeuw, Anja Struyf and Mia Hubert,
based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".

Martin Maechler

cluster

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.

Peter Rousseeuw

Anja Struyf

Mia Hubert

Kurt Hornik

Matthias Studer

Pierre Roudier

Juan Gonzalez

Kamil Kozlowski

Erich Schubert

Keefe Murphy

animals function

<p>A data frame with 20 observations on 6 variables:</p><table class="table">
<tr><td>[ , 1]</td><td>war</td><td>warm-blooded</td></tr>
<tr><td>[ , 2]</td><td>fly</td><td>can fly</td></tr>
<tr><td>[ , 3]</td><td>ver</td><td>vertebrate</td></tr>
<tr><td>[ , 4]</td><td>end</td><td>endangered</td></tr>
<tr><td>[ , 5]</td><td>gro</td><td>live in groups</td></tr>
<tr><td>[ , 6]</td><td>hai</td><td>have hair</td></tr>
</table>
<p>All variables are encoded as 1 = 'no', 2 = 'yes'.</p>

Format

Attributes of Animals — animals

<p>A data frame with 20 observations on 6 variables:</p><table class='table'>
<tr><td>[ , 1]</td><td>war</td><td>warm-blooded</td></tr>
<tr><td>[ , 2]</td><td>fly</td><td>can fly</td></tr>
<tr><td>[ , 3]</td><td>ver</td><td>vertebrate</td></tr>
<tr><td>[ , 4]</td><td>end</td><td>endangered</td></tr>
<tr><td>[ , 5]</td><td>gro</td><td>live in groups</td></tr>
<tr><td>[ , 6]</td><td>hai</td><td>have hair</td></tr>
</table>
<p>All variables are encoded as 1 = 'no', 2 = 'yes'.</p>

Attributes of Animals

animals: Attributes of Animals

Description

Usage

Arguments

Format

Details

References

Examples

[ , 1]	war	warm-blooded
[ , 2]	fly	can fly
[ , 3]	ver	vertebrate
[ , 4]	end	endangered
[ , 5]	gro	live in groups
[ , 6]	hai	have hair