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nomclust (version 2.6.2)

smirnov: Smirnov (SV) Measure

Description

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

Usage

smirnov(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: zdenek.sulc@vse.cz

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).

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

Examples

Run this code
# sample data
data(data20)

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

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