vm: Variable Mutability (VM) measure

In nomclust: Hierarchical Cluster Analysis of Nominal Data

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: [e-mail]

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)) 

nomclust documentation built on Aug. 18, 2023, 5:06 p.m.