milk

The data set contains the ingredients of mammal's milk of 25 animals.

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

milk function

A data frame with 25 observations on the following 5 variables (all in
 percent).<dl class="dl-horizontal">
 <dt><code>water</code></dt><dd>Water.</dd>
 <dt><code>protein</code></dt><dd>Protein.</dd>
 <dt><code>fat</code></dt><dd>Fat.</dd>
 <dt><code>lactose</code></dt><dd>Lactose.</dd>
 <dt><code>ash</code></dt><dd>Ash.</dd>
 </dl>

Format

Milk of Mammals — milk

A data frame with 25 observations on the following 5 variables (all in
 percent).<dl class='dl-horizontal'>
 <dt><code>water</code></dt><dd>Water.</dd>
 <dt><code>protein</code></dt><dd>Protein.</dd>
 <dt><code>fat</code></dt><dd>Fat.</dd>
 <dt><code>lactose</code></dt><dd>Lactose.</dd>
 <dt><code>ash</code></dt><dd>Ash.</dd>
 </dl>

milk: Milk of Mammals

Description

Usage

Arguments

Format

References