goodall4: Goodall 4 (G4) Measure

In nomclust: Hierarchical Cluster Analysis of Nominal Data

Goodall 4 (G4) Measure

Description

The function calculates a dissimilarity matrix based on the G4 similarity measure.

Usage

goodall4(data, var.weights = NULL)

Arguments

data	A data.frame or a matrix with cases in rows and variables in columns.
var.weights	A numeric vector setting weights to the used variables. One can choose the real numbers from zero to one.

Details

The Goodall 4 similarity measure was presented in (Boriah et al., 2008). It is a simple modification of the original Goodall measure (Goodall, 1966). It assigns higher weights to the frequent categories matches.

Value

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

Author(s)

Zdenek Sulc.
Contact: [e-mail]

References

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.

Goodall V.D. (1966). A new similarity index based on probability. Biometrics, 22(4), p. 882.

See Also

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

Examples

# sample data
data(data20)

# dissimilarity matrix calculation
prox.goodall4 <- goodall4(data20)

# dissimilarity matrix calculation with variable weights
weights.goodall4 <- goodall4(data20, var.weights = c(0.7, 1, 0.9, 0.5, 0))

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