ve {nomclust} | R Documentation |
A function for calculation of a proximity (dissimilarity) matrix based on the VE similarity measure.
ve(data)
data |
A data.frame or a matrix with cases in rows and variables in colums. |
The Variable Entropy similarity measure was introduced in (Sulc and Rezankova, 2019). It treats the similarity between two categories based on the within-cluster variability expressed by the normalized entropy. The measure assigns higher weights to rare categories.
The function returns an object of class "dist".
Zdenek Sulc.
Contact: zdenek.sulc@vse.cz
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.
Sulc Z. and Rezankova H. (2019). Comparison of Similarity Measures for Categorical Data in Hierarchical Clustering. Journal of Classification. 2019, 35(1), p. 58-72. DOI: 10.1007/s00357-019-09317-5.
eskin
,
good1
,
good2
,
good3
,
good4
,
iof
,
lin
,
lin1
,
of
,
sm
,
vm
.
# sample data data(data20) # dissimilarity matrix calculation prox.ve <- ve(data20)