nomclust (version 2.6.2)

anderberg: Anderberg (AN) Measure

Description

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

Usage

anderberg(data)

Value

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

Arguments

data

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

Author

Zdenek Sulc.
Contact:

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).

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, good1, goodall1, good2, goodall2, good3, goodall3, good4, goodall4, iof, lin, lin1, of, sm, smirnov, ve, vm.

Examples

# sample data
data(data20)

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