Learn R Programming

cluster.datasets (version 1.0-1)

animal.cluster.trees: Hartigan (1975) Cluster of Animals Forming a Tree

Description

The table is a binary table that identifies which animals are in given cluster. This is Table 8.1 in Chapter 8 of Hartigan (1975) on page 155.

Usage

data(animal.cluster.trees)

Arguments

Format

A data frame with 13 observations on the following 11 variables.
symbol
a character vector for
name
a character vector for
c.1
a numeric vector for a binary variable. A value 1 means the animal is in cluster 1 while 0 means that it is not in that cluster
c.2
a numeric vector for a binary variable. A value 1 means the animal is in cluster 2 while 0 means that it is not in that cluster
c.3
a numeric vector for a binary variable. A value 1 means the animal is in cluster 3 while 0 means that it is not in that cluster
c.4
a numeric vector for a binary variable. A value 1 means the animal is in cluster 4 while 0 means that it is not in that cluster
c.5
a numeric vector for a binary variable. A value 1 means the animal is in cluster 5 while 0 means that it is not in that cluster
c.6
a numeric vector for a binary variable. A value 1 means the animal is in cluster 6 while 0 means that it is not in that cluster
c.7
a numeric vector for a binary variable. A value 1 means the animal is in cluster 7 while 0 means that it is not in that cluster
c.8
a numeric vector for a binary variable. A value 1 means the animal is in cluster 8 while 0 means that it is not in that cluster
c.9
a numeric vector for a binary variable. A value 1 means the animal is in cluster 9 while 0 means that it is not in that cluster

Source

Hartigan, J. A. (1975). Clustering Algorithms, John Wiley, New York. SPAETH2 Cluster Analysis Datasets http://people.sc.fsu.edu/~jburkardt/datasets/spaeth2/spaeth2.html

Details

This table is used to construct and present a cluster tree as defined in Hartigan (1975).

References

Hartigan, J. A. (1975). Clustering Algorithms, John Wiley, New York.

Examples

Run this code
data(animal.cluster.trees)

Run the code above in your browser using DataLab