anderberg: Anderberg (AN) Measure

In nomclust: Hierarchical Cluster Analysis of Nominal Data

Anderberg (AN) Measure

Description

The function calculates a dissimilarity matrix based on the AN similarity measure.

Usage

anderberg(data)

Arguments

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

Details

The Anderberg similarity measure was presented in (Anderberg, 1973). The measure assigns higher weights to infrequent matches and mismatches. It takes on values from zero to one. The minimum similarity is attained when there are no matches and vice versa, see (Borian et al., 2008).

Value

The function returns an object of the class "dist".

Author(s)

Zdenek Sulc.
Contact: [e-mail]

References

Andergerg M.R. (1973). Cluster analysis for applications. Academic Press, New York.

Boriah S., Chandola V., Kumar V. (2008). Similarity measures for categorical data: A comparative evaluation. In: Proceedings of the 8th SIAM International Conference on Data Mining, SIAM, p. 243-254.

See Also

burnaby, eskin, gambaryan, goodall1, goodall2, goodall3, goodall4, iof, lin, lin1, of, sm, smirnov, ve, vm.

Examples

# sample data
data(data20)

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

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