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

milk function

A data frame with 25 observations on the following 5 variables (all in
  percent). 
  <dl>
    <dt>water:</dt><dd>water</dd> <dt>protein:</dt><dd>protein</dd> <dt>fat:</dt><dd>fat</dd> <dt>lactose:</dt><dd>lactose</dd> <dt>ash:</dt><dd>ash</dd> </dl> 

Format

<a href="http://www.uni-koeln.de/themen/statistik">http://www.uni-koeln.de/themen/statistik</a>

milk: Milk of Mammals

Description

Usage

Arguments

Format

Source

References