smirnov: Smirnov (SV) Measure

In nomclust: Hierarchical Cluster Analysis of Nominal Data

Smirnov (SV) Measure

Description

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

Usage

smirnov(data)

Arguments

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

Details

The Smirnov similarity measure was presented in (Smirnov, 1968). The measure assigns high similarity to matches when the frequency of the matching value is low, and the other values occur frequently, see (Borian et al., 2008).

Value

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

Author(s)

Zdenek Sulc.
Contact: [e-mail]

References

Smirnov E.S. (1968). On exact methods in systematics. Systematic Zoology, 17(1), 1-13.

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

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

Examples

# sample data
data(data20)

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

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