| vm {nomclust} | R Documentation |
Variable Mutability (VM) measure
Description
The function calculates a dissimilarity matrix based on the VM similarity measure.
Usage
vm(data, var.weights = NULL)
Arguments
data |
A data.frame or a matrix with cases in rows and variables in columns. |
var.weights |
A numeric vector setting weights to the used variables. One can choose the real numbers from zero to one. |
Details
The Variable Mutability similarity measure was introduced in (Sulc and Rezankova, 2019). It treats the similarity between two categories based on the within-cluster variability expressed by the normalized mutability. The measure assigns higher weights to rarer categories.
Value
The function returns an object of the class "dist".
Author(s)
Zdenek Sulc.
Contact: zdenek.sulc@vse.cz
References
Sulc Z. and Rezankova H. (2019). Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering. Journal of Classification. 2019, 35(1), p. 58-72. DOI: 10.1007/s00357-019-09317-5.
See Also
anderberg,
burnaby,
eskin,
gambaryan,
goodall1,
goodall2,
goodall3,
goodall4,
iof,
lin,
lin1,
of,
sm,
smirnov,
ve,
Examples
#sample data
data(data20)
# dissimilarity matrix calculation
prox.vm <- vm(data20)
# dissimilarity matrix calculation with variable weights
weights.vm <- vm(data20, var.weights = c(0.7, 1, 0.9, 0.5, 0))