| register_DendSer {seriation} | R Documentation |
Register Seriation Methods from Package DendSer
Description
Register the DendSer dendrogram seriation method and the ARc criterion
(Earle and Hurley, 2015) for use with seriate().
Usage
register_DendSer()
Details
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 (seelist_criterion_methods("dist"). Default:"BAR"(Banded anti-Robinson from with 20% band width). -
"verbose": a logical; print progress information? -
"DendSer_args": additional arguments forDendSer::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.
Value
Nothing.
Author(s)
Michael Hahsler based on code by Catherine B. Hurley and Denise Earle
References
D. Earle, C. B. Hurley (2015): Advances in dendrogram seriation for application to visualization. Journal of Computational and Graphical Statistics, 24(1), 1–25.
See Also
Other seriation:
register_GA(),
register_optics(),
register_smacof(),
register_tsne(),
register_umap(),
registry_for_seriaiton_methods,
seriate(),
seriate_best()
Examples
## 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)