flexclust: priceFeature – R documentation

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priceFeature

Artificial 2d Market Segment Data

Description

Simple artificial 2-dimensional data to demonstrate clustering for market segmentation. One dimension is the hypothetical feature sophistication (or performance or quality, etc) of a product, the second dimension the price customers are willing to pay for the product.

Usage

priceFeature(n, which=c("2clust", "3clust", "3clustold", "5clust",
                        "ellipse", "triangle", "circle", "square",
                        "largesmall"))

Arguments

`n`	Sample size.
`which`	Shape of data set.

References

Sara Dolnicar and Friedrich Leisch. Evaluation of structure and reproducibility of cluster solutions using the bootstrap. Marketing Letters, 21:83-101, 2010.

Examples

plot(priceFeature(200, "2clust"))
plot(priceFeature(200, "3clust"))
plot(priceFeature(200, "3clustold"))
plot(priceFeature(200, "5clust"))
plot(priceFeature(200, "ell"))
plot(priceFeature(200, "tri"))
plot(priceFeature(200, "circ"))
plot(priceFeature(200, "square"))
plot(priceFeature(200, "largesmall"))

flexclust

Flexible Cluster Algorithms

v1.4-0

GPL-2

Authors

Friedrich Leisch [aut, cre] (<https://orcid.org/0000-0001-7278-1983>), Evgenia Dimitriadou [ctb], Bettina Gruen [aut] (<https://orcid.org/0000-0001-7265-4773>)

Initial release

2018-09-20