animal.cluster.trees {cluster.datasets}

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)

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

Details

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

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

References

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

Examples

data(animal.cluster.trees)