airline.distances.1966 {cluster.datasets}

Hartigan (1975) Airline Distance Between Principal Cities of the World

Description

The table contains the airline distances in hunds of miles between the principal cities of the world. This is Table 11.1 in Chapter 11 of Hartigan (1975) on page 192.

Usage

data(airline.distances.1966)

Format

A data frame with 30 observations on the following 31 variables.

code

a character vector for the cities

AZ

a numeric vector for Azores

BD

a numeric vector for Baghdad

BN

a numeric vector for Berlin

BY

a numeric vector for Bombay

BS

a numeric vector for Buenos Aires

CO

a numeric vector for Cairo

CN

a numeric vector for Capetown

CH

a numeric vector for Chicago

GM

a numeric vector for Guam

HU

a numeric vector for Honolulu

IL

a numeric vector for Istanbul

JU

a numeric vector for Juneau

LN

a numeric vector for London

MA

a numeric vector for Manila

ME

a numeric vector for Melbourne

MY

a numeric vector for Mexico City

ML

a numeric vector for Montreal

MW

a numeric vector for Moscow

NS

a numeric vector for New Orleans

NY

a numeric vector for New York

PY

a numeric vector for Panama City

PS

a numeric vector for Paris

RO

a numeric vector for Rio De Janeiro

RE

a numeric vector for Rome

SF

a numeric vector for San Francisco

SO

a numeric vector for Santiago

SE

a numeric vector for Seattle

SI

a numeric vector for Shanghai

SY

a numeric vector for Sydney

TO

a numeric vector for Tokyo

Details

Hartigan uses this data set with the single linkage algorithm.

Source

The World Almanac (1966).

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(airline.distances.1966)