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cluster (version 1.3-2)

flower: Flower Characteristics

Description

8 characteristics for 18 popular flowers.

Usage

data(flower)

Arguments

format

A data frame with 18 observations on 8 variables: rll{ [ , 1] factor winters [ , 2] factor shadow [ , 3] factor tubers [ , 4] factor color [ , 5] ordered soil [ , 6] ordered preference [ , 7] numeric height [ , 8] numeric distance }

winters is binary and indicates whether the plant may be left in the garden when it freezes.

shadow is binary and shows whether the plant needs to stand in the shadow.

tubers is asymmetric binary and distinguishes between plants with tubers and plants that grow in any other way.

color is nominal and specifies the flower's color (1 = white, 2 = yellow, 3 = pink, 4 = red, 5 = blue).

soil is ordinal and indicates whether the plant grows in dry (1), normal (2), or wet (3) soil.

preference is ordinal and gives someone's preference ranking going from 1 to 18.

height is interval scaled, the plant's height in centimeters.

distance is interval scaled, the distance in centimeters that should be left between the plants.

source

The reference below.

References

Anja Struyf, Mia Hubert & Peter J. Rousseeuw (1996): Clustering in an Object-Oriented Environment. Journal of Statistical Software, 1. http://www.stat.ucla.edu/journals/jss/

Examples

Run this code
data(flower)
## Example 2 in ref
daisy(flower, type = list(asymm = 3))
daisy(flower, type = list(asymm = c(1, 3), ordratio = 7))

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