birth

Birth and death rates for 70 countries.

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

birth function

A data frame with 70 observations on the following 2 variables.<dl class="dl-horizontal">
 <dt><code>birth</code></dt><dd>Birth rate (in percent).</dd>
 <dt><code>death</code></dt><dd>Death rate (in percent).</dd>
 </dl>

Format

Birth and Death Rates — birth

A data frame with 70 observations on the following 2 variables.<dl class='dl-horizontal'>
 <dt><code>birth</code></dt><dd>Birth rate (in percent).</dd>
 <dt><code>death</code></dt><dd>Death rate (in percent).</dd>
 </dl>

birth: Birth and Death Rates

Description

Usage

Arguments

Format

References