Plot a histogram of the
# S4 method for kccasimple,missing
histogram(x, data, xlab="", ...)
# S4 method for kccasimple,data.frame
histogram(x, data, xlab="", ...)
# S4 method for kccasimple,matrix
histogram(x, data, xlab="similarity",
power=1, ...)
An object of class "kccasimple"
.
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.
Label for the x-axis.
Numeric indicating how similarities are transformed, for more details see Dolnicar et al. (2018).
Additional arguments passed to
histogram
.
Dolnicar S., Gruen B., and Leisch F. (2018) Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful. Springer Singapore.