dentitio

Mammal's teeth divided into the 4 groups: incisors, canines, premolars
 and molars.

datasets

The main function kcca implements a general framework for
k-centroids cluster analysis supporting arbitrary distance measures
and centroid computation. Further cluster methods include hard
competitive learning, neural gas, and QT clustering. There are
numerous visualization methods for cluster results (neighborhood
graphs, convex cluster hulls, barcharts of centroids, ...), and
bootstrap methods for the analysis of cluster stability.

Friedrich Leisch

flexclust

Flexible Cluster Algorithms

Evgenia Dimitriadou

Bettina Gruen

dentitio function

A data frame with 66 observations on the following 8 variables.<dl class="dl-horizontal">
 <dt><code>top.inc</code></dt><dd>Top incisors.</dd>
 <dt><code>bot.inc</code></dt><dd>Bottom incisors.</dd>
 <dt><code>top.can</code></dt><dd>Top canines.</dd>
 <dt><code>bot.can</code></dt><dd>Bottom canines.</dd>
 <dt><code>top.pre</code></dt><dd>Top premolars.</dd>
 <dt><code>bot.pre</code></dt><dd>Bottom premolars.</dd>
 <dt><code>top.mol</code></dt><dd>Top molars.</dd>
 <dt><code>bot.mol</code></dt><dd>Bottom molars.</dd>
 </dl>

Format

Dentition of Mammals — dentitio

A data frame with 66 observations on the following 8 variables.<dl class='dl-horizontal'>
 <dt><code>top.inc</code></dt><dd>Top incisors.</dd>
 <dt><code>bot.inc</code></dt><dd>Bottom incisors.</dd>
 <dt><code>top.can</code></dt><dd>Top canines.</dd>
 <dt><code>bot.can</code></dt><dd>Bottom canines.</dd>
 <dt><code>top.pre</code></dt><dd>Top premolars.</dd>
 <dt><code>bot.pre</code></dt><dd>Bottom premolars.</dd>
 <dt><code>top.mol</code></dt><dd>Top molars.</dd>
 <dt><code>bot.mol</code></dt><dd>Bottom molars.</dd>
 </dl>

dentitio: Dentition of Mammals

Description

Usage

Arguments

Format

References