lin {nomclust} | R Documentation |
A function for calculation of a proximity (dissimilarity) matrix based on the LIN similarity measure.
lin(data)
data |
A data.frame or a matrix with cases in rows and variables in colums. |
The Lin measure was introduced by Lin (1998) and presented in (Boriah et al., 2008). The measure assigns higher weights to more frequent categories in case of matches and lower weights to less frequent categories in case of mismatches.
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.
Lin D. (1998). An information-theoretic definition of similarity.
In: ICML '98: Proceedings of the 15th International Conference on Machine Learning. San Francisco, p. 296-304.
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# sample data data(data20) # dissimilarity matrix calculation prox.lin <- lin(data20)