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Identification of noisy variables for nonmetric and symbolic data in cluster analysis
(Springer-Verlag, 2008)
A proposal of an extended version of the HINoV method for the iden-
tification of the noisy variables (Carmone et al [1999]) for nonmetric, mixed, and
symbolic interval data is presented in this paper. Proposed modifications ...
Finding groups in ordinal data – an examination of some clustering procedures
(Springer-Verlag, 2010)
The article evaluates, based on ordinal data simulated with cluster.Gen
function of clusterSim package working in R environment, some cluster analysis
procedures containing GDM distance for ordinal data (see [4, 18, 19]), ...