histogram-methods: Methods for Function histogram in Package 'flexclust'

In flexclust: Flexible Cluster Algorithms

Methods for Function histogram in Package ‘flexclust’

Description

Plot a histogram of the similarity of each observation to each cluster.

Usage

## S4 method for signature 'kccasimple,missing'
histogram(x, data, xlab="", ...)
## S4 method for signature 'kccasimple,data.frame'
histogram(x, data, xlab="", ...)
## S4 method for signature 'kccasimple,matrix'
histogram(x, data, xlab="Similarity",
          power=1, ...)

Arguments

x	An object of class "kccasimple".
data	If not missing, the distance and thus similarity between observations and cluster centers is determined for the new data and used for the plots. By default the values from the training data are used.
xlab	Label for the x-axis.
power	Numeric indicating how similarities are transformed, for more details see Dolnicar et al. (2018).
...	Additional arguments passed to histogram.

Author(s)

Friedrich Leisch

References

Dolnicar S., Gruen B., and Leisch F. (2018) Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful. Springer Singapore.

flexclust documentation built on June 22, 2024, 11:32 a.m.