2020
DOI: 10.1007/978-981-15-2700-5_19
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Exploring Hierarchical Concepts: Theoretical and Application Comparisons

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Cited by 2 publications
(3 citation statements)
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“…Further developments of this work can be explored. Indeed, it would be interesting to compare the performances of our proposal with the ones of traditional hierarchical clustering algorithms, i.e., to extended the proof in Cavicchia et al (2020a) to the more general case of mixed-type data.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Further developments of this work can be explored. Indeed, it would be interesting to compare the performances of our proposal with the ones of traditional hierarchical clustering algorithms, i.e., to extended the proof in Cavicchia et al (2020a) to the more general case of mixed-type data.…”
Section: Discussionmentioning
confidence: 99%
“…It is worthy to highlight that the proposal differs from hierarchical clustering methods applied on variables (see Cavicchia et al, 2020a, for the quantitative case). Indeed, even if the latter can be implemented on variables after a proper transformation of similarity measures into dissimilarity ones, they are sequential and greedy procedures affected by misclassification at the bottom of the hierarchy that can have an effect on higher levels.…”
Section: Methodsmentioning
confidence: 99%
“…The correlation coefficient is thereby transformed into distance in order to apply a hierarchical clustering algorithm (Cliff et al 1995;Gordon 1999;Strauss et al 1973). Cavicchia et al (2020a) showed that this approach has several limitations.…”
Section: Remarkmentioning
confidence: 99%