hopach: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)

The HOPACH clustering algorithm builds a hierarchical tree of clusters by recursively partitioning a data set, while ordering and possibly collapsing clusters at each level. The algorithm uses the Mean/Median Split Silhouette (MSS) criteria to identify the level of the tree with maximally homogeneous clusters. It also runs the tree down to produce a final ordered list of the elements. The non-parametric bootstrap allows one to estimate the probability that each element belongs to each cluster (fuzzy clustering).

AuthorKatherine S. Pollard, with Mark J. van der Laan <laan@stat.berkeley.edu> and Greg Wall
Date of publicationNone
MaintainerKatherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>
LicenseGPL (>= 2)
Version2.34.0
http://www.stat.berkeley.edu/~laan/
http://docpollard.org/

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Files in this package

hopach/DESCRIPTION
hopach/NAMESPACE
hopach/R
hopach/R/boot2fuzzy.R hopach/R/bootplot.R hopach/R/bootstrap.R hopach/R/distance.R hopach/R/dplot.R hopach/R/hdistClass.R hopach/R/hopach.R hopach/R/hopach2tree.R hopach/R/output.R hopach/R/prune.R
hopach/build
hopach/build/vignette.rds
hopach/data
hopach/data/golub.RData
hopach/inst
hopach/inst/CITATION
hopach/inst/doc
hopach/inst/doc/hopach.R
hopach/inst/doc/hopach.Rnw
hopach/inst/doc/hopach.pdf
hopach/man
hopach/man/boot2fuzzy.Rd hopach/man/bootplot.Rd hopach/man/bootstrap.Rd hopach/man/correlationordering.Rd hopach/man/disscosangle.Rd hopach/man/distancematrix.Rd hopach/man/dplot.Rd hopach/man/golub.Rd hopach/man/hdist-class.Rd hopach/man/hopach.Rd hopach/man/hopach.internal.Rd hopach/man/hopach2tree.Rd hopach/man/labelstomss.Rd hopach/man/makeoutput.Rd hopach/man/prune.Rd
hopach/src
hopach/src/Rdistances.c
hopach/src/hdist.c
hopach/vignettes
hopach/vignettes/MSS.pdf
hopach/vignettes/bootplot.pdf
hopach/vignettes/dplot.pdf
hopach/vignettes/golub.R
hopach/vignettes/hopach.Rnw
hopach/vignettes/hopach.bib
hopach/vignettes/hopachManuscript.pdf

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