View source: R/register_DendSer.R
| register_DendSer | R Documentation |
Register the DendSer dendrogram seriation method and the ARc criterion
(Earle and Hurley, 2015) for use with seriate().
register_DendSer()
Registers the method "DendSer" for seriate. DendSer is a fast
heuristic for reordering dendrograms developed by Earle and Hurley (2015)
able to use different criteria.
control for seriate() with
method "DendSer" accepts the following parameters:
"h" or "method": A dendrogram or a method for hierarchical clustering
(see hclust). Default: complete-link.
"criterion": A seriation criterion to optimize (see
list_criterion_methods("dist"). Default: "BAR" (Banded
anti-Robinson from with 20% band width).
"verbose": a logical; print progress information?
"DendSer_args": additional arguments for DendSer::DendSer().
For convenience, the following methods (for different cost functions) are also provided:
"DendSer_ARc" (anti-robinson form),
"DendSer_BAR" (banded anti-Robinson form),
"DendSer_LPL" (lazy path length),
"DendSer_PL" (path length).
Note: Package DendSer needs to be installed.
Nothing.
Michael Hahsler based on code by Catherine B. Hurley and Denise Earle
D. Earle, C. B. Hurley (2015): Advances in dendrogram seriation for application to visualization. Journal of Computational and Graphical Statistics, 24(1), 1–25.
DendSer::DendSer()
Other seriation:
register_GA(),
register_optics(),
register_smacof(),
register_tsne(),
register_umap(),
registry_for_seriation_methods,
seriate(),
seriate_best()
## Not run:
register_DendSer()
get_seriation_method("dist", "DendSer")
d <- dist(random.robinson(20, pre=TRUE))
## use Banded AR form with default clustering (complete-link)
o <- seriate(d, "DendSer_BAR")
pimage(d, o)
## use different hclust method (Ward) and AR as the cost function for
## dendrogram reordering
o <- seriate(d, "DendSer", control = list(method = "ward.D2", criterion = "AR"))
pimage(d, o)
## End(Not run)
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