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cluster.datasets (version 1.0-1)

portable.typewriters: Hartigan (1975) Portable Typewriters

Description

The table contains the features in a collection of portable typewriters. This is Table 10.5 in Chapter 10 of Hartigan (1975) on page 186.

Usage

data(portable.typewriters)

Arguments

Format

A data frame with 20 observations on the following 21 variables.
model
a character vector for the typewriter model
HT
a numeric vector for the height in inches
WH
a numeric vector for the width in inches
DH
a numeric vector for the depth in inches
WT
a numeric vector for the weight in pounds
PL
a numeric vector for the platen length
KS
a numeric vector for the number of keys
PE
a factor for the pica or elite type with levels 1
TA
a factor for the availability of tabulator with levels 0 1
TP
a factor for the availability of touch pressure control with levels 0 1
PR
a factor for the availability of platen release with levels 0 1
HH
a factor for the availability of horizontal half spacing with levels 0 1
VH
a factor for the availability of vertical half spacing with levels 0 1
PI
a factor for the availability of page end indicator with levels 0 1
PG
a factor for the availability of paper guide with levels 0 1
PB
a factor for the availability of paper bail with levels 0 1
PS
a factor for the availability of paper support with levels 0 1
EP
a factor for the availability of erasure plate with levels 0 1
TC
a factor for the availability of two carriage re;eases with levels 0 1
MR
a factor for the availability of margin release with levels 0 1
CL
a factor for the availability of carriage lock with levels 0 1

Source

Consumers' Reports Buying Guide (1967), Consumers' Union, Mount Vernon, NY. SPAETH2 Cluster Analysis Datasets http://people.sc.fsu.edu/~jburkardt/datasets/spaeth2/spaeth2.html

Details

Hartigan suggests that the triads algorithm be used with this data set. The factor variables are binary variables. If the value is 1, then the associated feature is available. If the value is 0, then the associated feature is not available.

References

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

Examples

Run this code
data(portable.typewriters)

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