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DendroLikeness: an R package to compare dendrograms

Compare dendrograms produced with the hclust function in R
Authors: Martínez, Octavio;

DendroLikeness: an R package to compare dendrograms

Abstract

If you use R to produce tree diagrams (dendrograms) you could find this package useful. Dendrograms are the result of applying hierarchical clustering methods to data.When, for a single data set, you use the R functions "dist()" and then "hclust()" with different methods, you could obtain very different dendrograms. Comparing different dendrograms just by looking at their plots is complicated when the number of units (entities) is large. The R package DendroLikeness gives you an easy solution to that problem by having functions to obtain the topology of each dendrogram (this is, the clusters that exist in each graph) and then detecting the clusters shared by two (or more) dendrograms. You will obtain different measures of likeness which will make easier for you to see the differences between dendrograms and thus decide which distance and clustering algorithm is better to show in your scientific publication.

Keywords

dendrograms comparisons, Dendrogram, Bifurcating Dendrogram, dist(), hclust(), topology of dendrograms, Hierarchical Clustering, Clustering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average