vm: Variable Mutability (VM) measure

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/vm.R

Description

A function for calculation of a proximity (dissimilarity) matrix based on the VM similarity measure.

Usage

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Arguments

data

A data.frame or a matrix with cases in rows and variables in colums.

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 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

eskin, good1, good2, good3, good4, iof, lin, lin1, of, sm, ve.

Examples

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#sample data
data(data20)

# dissimilarity matrix calculation
prox.vm <- vm(data20)

nomclust documentation built on Nov. 10, 2020, 1:07 a.m.

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